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Guide to the 2015 Diary of Consumer Payment Choice Federal Reserve Bank of Boston: Consumer Payments Research Center May 24, 2018 Introduction The Diary of Consumer Payment Choice (DCPC) is a survey of consumer payment habits run in conjunction with the University of Southern California’s Understanding America Study (UAS). Respondents were randomly assigned a three-day period between October 13th, 2015 and December 17th, 2015 and asked to track all of their payments using an online questionnaire. Respondents were also asked to report some account balances and income payments on the night before the beginning of their diary period. Some respondents were offered the opportunity to do the survey twice – once in October-November, and again in November-December – and many accepted. Respondents were also provided paper memory aids to help keep track of their payments. To the extent possible, attempts were made to ensure that on any given day a representative sample of US residents was actively taking the diary, and any given day can be made statistically representative by using appropriate sample weights. In addition to in-person purchases, respondents were also asked to record their cash holdings, cash deposits, checking transfers, and other exchanges of liquid assets. Respondents were further asked to report income payments. The result is a dataset containing 11,503 unique transactions by 1,392 individuals over 1,901 diaries, including 8,959 expenditures, 1,323 account transfers, and 1,221 income payments. All in all, the DCPC allows a researcher an unusually clear window into the household finances of the American consumer. Structure of the survey instrument The DCPC asked respondents to track all purchases, bills, and movements of cash over a three-day assigned diary period, which were entered into an online survey every evening. Diarists were also asked to report income payments and some account balances the night before the first diary day (diary day 0). The diary day can be identified using the variable diary day. Attempts were made to ensure that the sample of respondents was not just representative through the whole of the October 16 to December 15 period, but also representative on any given date. Diarists were provided with optional memory aids to help keep track of the relevant details, and some real-time error checking was automatically performed by the survey instrument. Written and compiled by Jason Premo. jason.premo@bos.frb.org Modules and duplicates The instrument is organized in several modules which deal with certain kinds of transactions – for instance, Purchases, Cash Withdrawals, and Checking Transfers. During these modules, respondents are typically asked to list the number of purchases/cash withdrawals/checking transfers/etc they had on a given day, after which they are asked follow-up questions about each individual transaction. The variable module can be used to identify which module an observation was originally pulled from. Note that while the modules can have rather suggestive names, one should not rely on the name of the module to identify the type of transaction an observation represents – not all transactions reported in the Purchases module are necessarily ”purchases”, as some transactions may be recategorized after-the-fact if the respondent makes a mistake. Respondents were asked many followups which are much more reliable means of identifying a transaction’s purpose. See Structure and use of the data below for more information. In some cases a respondent would report the same transaction in multiple modules. For instance, a respondent might report a utility bill payment in both the Purchases and Bills module. These duplicates are culled from the dataset, and the module variable is modified to reflect that a transaction came from multiple parts of the survey. Transactions are considered to be duplicates if they have a matching prim key (primary respondent identifier), date, amnt (transaction amount), and pi (payment instrument) in cases where pi is available, and prim key, date, and amnt in cases where pi is not available. Some notes on the sampling methodology and skip patterns In order to reduce unwanted heterogeniety in response quality across days due to diary fatigue, some diarists were assigned diary peiriods beginning on October 13th, October 14th, and October 15th, and some diarists were assigned diary periods ending on December 16th and December 17th. This was to ensure that every individual day in the October 16 to December 15 range has an approximately equal mix of diarists completing their 0th, 1st, 2nd, and 3rd diary days. For any statistical analysis which attempts to be representative, the ”burn-in” days of October 13-15 and the ”burnout” days of December 16-17 should be dropped. These observations are automatically excluded if the provided daily weights are used, but must be excluded manually when using the individual weights – see the weighting section below. For more information on the sampling methodology, see the 2015 DCPC Technical Appendix or 2015 Survey and Diary of Consumer Payment Choice Weighting Proceduring (2016) by Marco Angrisani. In order to conserve valuable survey time and prevent the diary from becoming onerous, the diary employs skip patterns to determine whether or not a respondent is asked a given question. In most cases, this is intuitive; a respondent who does not report a credit card payment is not asked about the logo on their credit card. In other cases, however, it can be potentially misleading. For instance, respondents are only asked if they had cash stolen if their reported end of day cash balance fails to match their reported cash transactions (within a margin of error). Thus, in some cases it may be necessary for the researcher to trace variables back to their original diary questions in order to obtain a full understanding of the universe of respondents for a given question. 2 Structure and use of the data The DCPC data contains 19,109 unique observations, the majority of which represent a single transaction by a single respondent on a single day. Any observation can be uniquely identified by the person, the diary (for multiple diarists), the day, and a constructed variable which orders the transactions within a given day. In the data, these variables are prim key, diary, date, and tran. The variable diary day can be used in place of date, if so desired, and is necessary for identifying diary day 0. The type variable Any given transaction will have non-missing values for the variable type, which identifies what sort of transaction the observation represents. Observations can either represent an expenditure, a transfer, or an income receipt, or serve as a placeholder. Understanding the type variable, and its associated from account and to account is integral to properly using the data, so a short guide is included here. Expenditures Expenditures are defined to be money moving out of a respondents possession – for instance, purchasing an item at a store. Expenditures generally come from the Purchases or Bills modules, though they may come from other modules as well. A substantial number of merchant categorization followups were asked for each transaction reported in the Purchases and Bills modules to determine what the expenditure was for; all of these followups have been merged into the variables merch, submerch, purpose, and subpurpose. Using these variables one can, for instance, identify consumption. Transfers Transfers are when money is moved from one account/form to another. In order to identify the actual movement of money, one should make use of the from account and to account variables. Transfers may come from almost any module. For instance, a cash withdrawal would be a transfer from a checking account to cash and would come from the Cash Withdrawals module, while a credit card bill payment could be a transfer from a checking account to a credit account and might come from the Purchases module. Income Income is defined as money coming into the respondents possession. Most income is reported in the Income module, though some types of Cash Withdrawal transactions are also considered income – for instance, receiving money from a family member. Note that, unlike other types of transactions, income receipts can be reported on diary day 0. 3 Placeholders Every respondent-diary-day has a placeholder observation that contains only the day-level and transaction-level variables; these are inserted into the dataset to ensure that one can filter out observations along any other variable without removing respondents from the dataset. For instance, one can filter out all Transfers and Income receipts (type = 1 and type = 2) without worrying about losing those respondents who had no expenditures. Dollar amounts All transactions which represent a movement of money will have a dollar amount associated with them. This dollar amount is stored in the variable amnt. Some subjective outlier cleaning has been applied to these dollar amounts, and the original dollar amounts, as originally reported by the respondents, are stored in amnt orig. Dollar amounts were cleaned based on their subjective likelihood given the type of transaction, the respondent’s answer to the various merchant followups, the respondent’s written answers in some of the ”other” boxes in the survey (which are not included in this dataset), and the respondent’s answers to some of the questions in the Survey of Consumer Payment Choice (SCPC). In most cases, unrealistically large dollar amounts are the result of an omitted decimal point.1 Other key variables Each transaction also includes, when applicable, an amount (variable amnt), a time (variable time), a payment instrument (variable pi) – e.g., cash, credit, check – a merchant category – e.g., financial services, restaurants, transportation – and the device with which the payment was made – e.g., a mobile phone – as well as several other variables related to the payment. With the data so organized, it is a very simple matter to estimate, say, the average value of a cash transaction at a restaurant, or the average number of credit payments in a given month. It may also be possible, under some reasonable assumptions, to generate running balances of the various liquidity accounts in a respondent’s possession. Structure of this document This code book is arranged both alphabetically and by level of response; variables that apply to a given transaction are listed first, followed by variables that apply to a given diary day, followed by variables that apply to a given diary. Though variables are generally listed alphabetically, within each subcategory the unique identifier for that subcategory is listed first – thus, prim key (mentioned above) is the first variable listed among the individual level variables. A table of contents is provided on the next page. 1 The data contain one very large transaction of $85,000 which can substantially alter some mean estimates. This transaction is confirmed to be correct based on the respondent’s written responses to some of the followup questions. 4 For each variable, a description is provided which states what it is meant to represent, as well as the coding of the original survey question which can be used to look the question up in the survey questionnaire. When necessary, additional details are provided about how the variable was altered or constructed from the original survey response. Additional histograms and unweighted transaction-level summary statistics are provided for continuous-valued variables, while simple tabulations and codings are provided for categorical variables. Survey vendors The University of California’s UAS panel was used for the majority of surveys. However, in order to increase the number of observations, some respondents were gathered from GfK and Qualtrics. The source of a respondent can be identified by using the variable vendor. The ultimate count for each survey vendor was • UAS: 1,155 • GfK: 357 • Qualtrics: 85 Note that the Qualtrics respondents are not included in the public use dataset, nor are those who did not complete the diary. A tabulation of the respondents that are ultimately included in the dataset can be found on the page for vendor below. Weighting To allow for estimations that are representative of the United States, two sets of sample weights are provided in the base dataset, as well as many others in the full weights dataset. The first set of base weights, ind weight, are individual-level post-stratification weights; these correspond exactly to rps w uasgfk in the full weights dataset. The second set of weights, day weight, are day-level weights, and correspond exactly to rps w day a uasgfk in the full weights dataset. All weights are relative weights – they have a mean of 1 and sum to the number of observations in the dataset. The daily weights provided in the base dataset should not be used for estimates that include diary day 0 observations. Weights appropriate for the inclusion of diary day 0 are included in the full weights dataset. For more information about how the weights are constructed and the various type of weights available in full weights, see 2015 Survey and Diary of Consumer Payment Choice Weighting Proceduring (2016) by Marco Angrisani. 5 Contents Transaction-level Variables tran . . . . . . . . . . . accept card . . . . . . . accept cash . . . . . . . automatic . . . . . . . . bill . . . . . . . . . . . . bill imp . . . . . . . . . can postpone . . . . . . cash2coin cointype . . . cash2coin loc . . . . . . cash move . . . . . . . . cd location . . . . . . . coin2cash coin amnt . . coin2cash loc . . . . . . coin2cash reimburse . . cw location . . . . . . . cw source . . . . . . . . debit auth . . . . . . . . device . . . . . . . . . . discount . . . . . . . . . due date . . . . . . . . . enough cash . . . . . . . fee amnt . . . . . . . . . fee flag . . . . . . . . . fixed amount . . . . . . frequency . . . . . . . . from account . . . . . . in person . . . . . . . . income howpaid . . . . . income type . . . . . . . ind payee . . . . . . . . late fee . . . . . . . . . logo . . . . . . . . . . . merch . . . . . . . . . . merch orig . . . . . . . . mobile funding . . . . . mobile method . . . . . mobile type . . . . . . . module . . . . . . . . . monord date . . . . . . . monord source . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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. . . . . . . . . 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 otherpi funding . otherpi type . . . ow type . . . . . pay timing . . . . payment . . . . . pi . . . . . . . . pin . . . . . . . . ppload loc . . . . prior goods time purpose . . . . . receipt timing . . regularity . . . . rem howmade . . rewards . . . . . submerch . . . . subpurpose . . . time . . . . . . . to account . . . . tran account . . . tran days . . . . . tran inst . . . . . tran min . . . . . type . . . . . . . unexpected . . . unpaid bal . . . . why not billpref . why not pref . . why pi . . . . . . why pi security . why pi speed . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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61 62 63 64 65 66 68 70 71 72 73 74 75 76 77 78 79 80 81 82 83 Day-level Variables date . . . . . . . carry acnt2acnt . carry banp . . . . carry cc . . . . . carry chk . . . . carry csh . . . . . carry dc . . . . . carry mobile . . . carry monord . . carry obbp . . . . carry other . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 84 85 86 87 88 89 90 91 92 93 94 7 carry paypal . . carry svc . . . . carry tc . . . . daily weight . . denom 100 end denom 10 end . denom 1 end . denom 20 end . denom 2 end . denom 50 end . denom 5 end . diary day . . . end cash bal . . nopayments . . payday tender . paypal bal . . . paypal bal date paypal bal time start cash bal . traveled . . . . wmy pass used . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Diary-level Variables diary . . . . . . . . acct mostused1 . . acct mostused2 . . acct mostused3 . . age . . . . . . . . . cc airmiles . . . . . cc cashback . . . . cc otherreward . . cc points . . . . . . cc repay plan . . . census division . . chk bal day0 . . . chk bal day3 . . . citizen . . . . . . . denom 100 stored . denom 10 stored . denom 1 stored . . denom 20 stored . denom 2 stored . . denom 50 stored . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 . . . . . . . . . . . . . . . . . . . . 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 denom 5 stored . . . e exp amnt . . . . . e exp cc . . . . . . . e exp chk . . . . . . e exp cover . . . . . e exp csh . . . . . . e exp days . . . . . . e exp fam . . . . . . e exp heloc . . . . . e exp od . . . . . . . e exp pawn . . . . . e exp payday . . . . e exp sav . . . . . . hh size . . . . . . . . highest education . . highest education gfk home debt . . . . . . home value . . . . . homeowner . . . . . inc alimony . . . . . inc alimony freq . . inc child . . . . . . . inc child freq . . . . inc gov . . . . . . . inc gov freq . . . . . inc intdiv . . . . . . inc intdiv freq . . . . inc rent . . . . . . . inc rent freq . . . . . inc retempl . . . . . inc retempl freq . . . inc retsav . . . . . . inc retsav freq . . . . inc self . . . . . . . inc self freq . . . . . inc ss . . . . . . . . inc ss freq . . . . . . inc wage . . . . . . . inc wage freq . . . . income hh . . . . . . ind weight . . . . . . interest level . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 last income date . . . . . . layaway . . . . . . . . . . male . . . . . . . . . . . . marital status . . . . . . . memory checkbook . . . . memory finrec . . . . . . . memory lpd . . . . . . . . memory other . . . . . . . memory receipts . . . . . mobile howfunded . . . . na oversample . . . . . . . new loan . . . . . . . . . . new loan amnt . . . . . . new loan purch amnt . . . next income date . . . . . other assets . . . . . . . . other debts . . . . . . . . payday loan . . . . . . . . payday loan amount . . . paypref 100plus . . . . . . paypref 10to25 . . . . . . paypref 25to50 . . . . . . paypref 50to100 . . . . . . paypref b1 . . . . . . . . . paypref b1 why . . . . . . paypref b2 . . . . . . . . . paypref b2 why . . . . . . paypref lt10 . . . . . . . . paypref nb1 . . . . . . . . paypref nb1 why . . . . . paypref nb2 . . . . . . . . paypref nb2 why . . . . . paypref web . . . . . . . . paypref web why . . . . . race asian . . . . . . . . . race black . . . . . . . . . race other . . . . . . . . . race white . . . . . . . . . scpc date . . . . . . . . . state reside . . . . . . . . storedcash amnt . . . . . . storedcash amnt payments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 219 220 storedcash amnt savings used fsa . . . . . . . . . used heloc . . . . . . . . vendor . . . . . . . . . . why nocash . . . . . . . work disabled . . . . . . work employed . . . . . work homemaker . . . . work looking . . . . . . work retired . . . . . . . work self . . . . . . . . work student . . . . . . work temp unemployed . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221 222 223 224 225 226 227 228 229 230 231 232 233 Individual-level Variables 233 prim key . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234 11 Transaction-level Variables tran Description Within-day transaction counter. Survey Question N/A Details Constructed by ordering the transactions according to time, and then creating an ascending counter. Back to top 0 2 N min 11505 1 12 4 med 2 6 8 mean max 2.65128 23 10 sd 2.11486 Transaction-level Variables accept card Description Whether a credit or debit card would have been accepted for this transaction. accept card 0 1 2 Total Survey Question q101j Coding 0 1 2 No Yes I don’t know Back to top 13 No. 369 1,889 209 2,467 % 15 77 8 100 Transaction-level Variables accept cash Description Whether cash would have been accepted for this transaction. accept cash 0 1 2 3 Total Survey Question q103g Coding 0 1 2 3 No Yes I’m not sure, but I think so I’m not sure, but I don’t think so Back to top 14 No. 104 3,674 18 5 3,801 % 3 97 0 0 100 Transaction-level Variables automatic Description Whether the bill was automatic. automatic 0 1 Total Survey Question Drop-down box in the bills module. Details Note that it is not generally possible to identify bills as automatic if they were reported in the purchases module of the questionnaire, as it was not asked. This oversight is fixed in the 2016 DCPC. Coding 0 1 No Yes Back to top 15 No. 979 396 1,375 % 71 29 100 Transaction-level Variables bill Description Whether this transaction was a bill. bill 0 1 Total Survey Question pay002 No. 7,305 2,327 9,632 % 76 24 100 Details Question pay002 is used to identify bills reported in the purchases module. All bills reported in the bills reminder module are bills by definition. Observations for which ”other” was chosen are manually recategorized. Note that, due to the wording of the question, a very large proportion of respondents (about 25-30 percent) chose ”other” and described their payment in words. We attempted to come up with rules for recategorizing these responses, but there were too many to do each one individually. Coding 0 1 No Yes Back to top 16 Transaction-level Variables bill imp Description Whether observation was identified as a bill during the data cleaning process, as opposed to reported as such by the respondent. Researchers may prefer to use the respondent’s original answer. bill imp 0 1 Total Survey Question Some transactions were identified as bills expost, during the cleaning process, on the basis of what the respondent typed in some of the ”other” boxes. These hand-typed responses are not available in the public dataset for privacy reasons. Coding 0 1 Original bill Changed to bill Back to top 17 No. 2,258 69 2,327 % 97 3 100 Transaction-level Variables can postpone Description Whether this transaction could have been postponed without penalty. can postpone No. 0 211 1 192 Total 403 Survey Question q151 a Coding 0 1 No Yes Back to top 18 % 52 48 100 Transaction-level Variables cash2coin cointype Description Main type of coin received when converting from cash. cash2coin cointype 2 4 Total Survey Question Drop-down box in the cash2coin module. Details The cash-to-coin/coin-to-cash module is an errorchecking module, and only shown to respondents whose daily cash balance implied by their cash transactions does not match their reported end-of-day cash holdings. Coding 1 2 3 4 5 Dollar coins Quarters Dimes Nickels Pennies Back to top 19 No. 10 2 12 % 83 17 100 Transaction-level Variables cash2coin loc Description Cash to coin conversion location. cash2coin loc 1 3 4 Total Survey Question Drop-down box in the cash2coin module. Details The cash-to-coin/coin-to-cash module is an errorchecking module, and only shown to respondents whose daily cash balance implied by their cash transactions does not match their reported end-of-day cash holdings. Coding 1 2 3 4 5 6 Change machine/kiosk Bank teller Store clerk Family or friend Post office Other Back to top 20 No. 5 6 1 12 % 42 50 8 100 Transaction-level Variables cash move Description Cash movements from one form or location to another. cash move 1 2 3 4 5 Total Survey Question q106a-d, q120, q122 Details Amounts are reported in q106a-d, q120, q122, and cash move is used to identify which question the transaction amount came from. Coding 1 2 3 4 5 6 Pocket to storage Storage to pocket Cash stolen/lost Unexpected receipt of cash Cash to foreign currency Foreign currency to cash Back to top 21 No. 54 58 11 84 1 208 % 26 28 5 40 0 100 Transaction-level Variables cd location Description Cash deposit location. cd location 1 2 3 Total Survey Question Drop-down box in the cash deposits module. Called ”Deposit Method” in the questionnaire. Coding 1 2 3 ATM Bank teller Other Back to top 22 No. 32 32 8 72 % 44 44 11 100 Transaction-level Variables coin2cash coin amnt Description Dollar value of coins to converted to cash. Survey Question Filled in during the coin-to-cash/cash-to-coin module. Details The cash-to-coin/coin-to-cash module is an errorchecking module, and only shown to respondents whose daily cash balance implied by their cash transactions does not match their reported end-of-day cash holdings. Back to top 23 0 N 11 5 min 0.93 10 med mean 10 7.00636 15 max sd 20 6.10888 20 Transaction-level Variables coin2cash loc Description Coin to cash conversion location. coin2cash loc 2 3 4 5 Total Survey Question Drop-down box in the coin-to-cash/cash-to-coin module. Details The cash-to-coin/coin-to-cash module is an errorchecking module, and only shown to respondents whose daily cash balance implied by their cash transactions does not match their reported end-of-day cash holdings. Coding 1 2 3 4 5 Coin machine/kiosk Bank teller Store Family or friend Other Back to top 24 No. 1 8 1 1 11 % 9 73 9 9 100 Transaction-level Variables coin2cash reimburse Description Form in which cash was received. coin2cash reimburse 0 5 Total Survey Question Drop-down box in the coin-to-cash/cash-to-coin module. Details The response ”no” has been set to 0, and the other responses have been adjusted accordingly. Also note that the cash-to-coin/coin-to-cash module is an error-checking module, and only shown to respondents whose daily cash balance implied by their cash transactions does not match their reported end-of-day cash holdings. Coding 0 5 No Store credit Back to top 25 No. 10 1 11 % 91 9 100 Transaction-level Variables cw location Description Cash withdrawal location. cw location No. 1 124 2 52 3 53 4 177 5 3 6 44 7 11 8 1 9 59 Total 524 Survey Question Drop-down box in the cash withdrawals module. Coding 1 2 3 4 5 6 7 8 9 ATM Cash back at retail store Bank teller Family or friend Check cashing store Employer Cash refund from returning goods Payday lender Other Back to top 26 % 24 10 10 34 1 8 2 0 11 100 Transaction-level Variables cw source Description Source of funds for cash withdrawal. cw source No. 1 178 2 22 3 54 4 22 5 3 6 14 7 183 8 47 Total 523 Survey Question Drop-down box in the cash withdrawals module. Coding 1 2 3 4 5 6 7 8 Checking account Savings or other bank account Salary/wages/tips Cashing a check Credit card cash advance Prepaid card cash withdrawal Another person Other Back to top 27 % 34 4 10 4 1 3 35 9 100 Transaction-level Variables debit auth Description Method of debit authorization (signature or PIN). Survey Question q101c Coding 1 2 3 4 5 6 PIN Signature CVC/CVV code None of these Some of combination of these two Other Back to top 28 debit auth 1 2 3 4 5 6 Total No. 1,078 550 159 451 11 41 2,290 % 47 24 7 20 0 2 100 Transaction-level Variables device Description Device used to complete transaction. device 1 2 3 4 5 6 Total Survey Question Drop-down box in the purchases and bills modules. Details Responses are presented as they were reported by the respondent. Note that some of the values of this variable do not ”make sense”. Nonetheless, we have chosen not to leave them alone and allow the researcher to interpret them as they see fit. Coding 1 2 3 4 5 6 Computer Tablet Mobile phone Landline phone Mail No device Back to top 29 No. 1,363 114 348 72 271 7,417 9,585 % 14 1 4 1 3 77 100 Transaction-level Variables discount Description Whether a discount was received for using the chosen payment instrument. discount 0 1 Total Survey Question q101aaa, q101d, q101f Coding 0 1 No Yes Back to top 30 No. 6,646 206 6,852 % 97 3 100 Transaction-level Variables due date Description Date on which this bill was due. Survey Question q67 a Back to top 20300 N 1326 31 20350 min 20314 20400 med 20422 20450 mean 20420.7 max 21863 20500 sd 55.2743 Transaction-level Variables enough cash Description Whether respondent had enough cash available to pay for this transaction. enough cash No. 0 2,023 1 1,732 2 34 3 19 Total 3,808 Survey Question q103f Coding 0 1 2 3 No Yes I’m not sure, but I think so I’m not sure, but I don’t think so Back to top 32 % 53 45 1 0 100 Transaction-level Variables fee amnt Description The amount of fee paid for this transaction. Survey Question Entered in the Remittances and Checking Transfers modules. Back to top 0 N min 84 0 33 1 med 0 2 mean max 0.0714286 4 3 sd 0.485593 4 Transaction-level Variables fee flag Description Whether a fee was charged. fee flag 0 1 Total Survey Question q101g, and as reported in several modules. Coding 0 1 No Yes Back to top 34 No. 2,629 45 2,674 % 98 2 100 Transaction-level Variables fixed amount Description Whether or not the bill amount is the same each time it comes due. fixed amount 0 1 Total Survey Question Details Coding 1 2 Same amount each bill Amount changes from bill to bill Back to top 35 No. 235 239 474 % 50 50 100 Transaction-level Variables frequency Description The frequency (time per year) of the bill. Survey Question q67 c, q67 g, pay002b Details Annualized according to response values. Back to top 0 N 1516 36 10 min 0.5 20 30 med mean 12 13.2968 40 50 max sd 365 15.5198 Transaction-level Variables from account Description The account from which the funds for this transaction were sourced. Survey Question N/A Details from account and to account are purely constructed variables which tracks the movement of money between accounts, as well as tracking which accounts expenditures came from and which accounts income went to. They should generally be used in conjunction with type to truly understand the movement of money. Coding 1 2 3 4 5 6 7 8 Currency Primary checking Other DDA account Nonfiancial deposit account (e.g. paypal, prepaid card) Investment account Credit account Other long-term assets Other account (including uncashed checks and money orders) Back to top 37 from account 1 2 3 4 5 6 8 Total No. 2,965 3,255 62 399 14 2,110 31 8,836 % 34 37 1 5 0 24 0 100 Transaction-level Variables in person Description Whether the transaction occurred in person. in person 0 1 Total Survey Question Drop-down box in several modules. Coding 0 1 No Yes Back to top 38 No. 2,317 7,303 9,620 % 24 76 100 Transaction-level Variables income howpaid Description How this income was paid to the respondent. income howpaid 1 2 3 4 5 6 7 8 Total Survey Question q143 a-i Details Note that to account is based on this variable for income receipts, though this variable provides slightly better granularity. Coding 1 2 3 4 5 6 7 Direct deposit to primary checking Direct deposit to other account Paper check Cash Payroll card General purpose reloadable prepaid card Other Back to top 39 No. 343 37 99 76 17 14 17 11 614 % 56 6 16 12 3 2 3 2 100 Transaction-level Variables income type Description Type of income payment. income type No. 1 352 2 13 3 71 4 68 5 28 6 20 7 34 8 2 9 17 10 22 Total 627 Survey Question q142 a-I, q144 a-i Details This factor variable is defined based on which type(s) of income the respondent reported receiving that day. When the respondent reported receiving multiple types of income, multiple transactions are created to match, each with a different value for income type. Coding 1 2 3 4 5 6 7 8 9 10 Employment income Self-employment income Social security Employer-paid retirement IRA, Roth IRA, 401k or other retirement Interest and dividends Rental income Government assistance Alimony Child support Back to top 40 % 56 2 11 11 4 3 5 0 3 4 100 Transaction-level Variables ind payee Description Type of person to which payment was made. ind payee 1 2 3 4 5 Total Survey Question pay080, pay081 Details These two followups are combined, for convenience. Coding 1 2 3 4 5 Person who provides goods/service (business) Person who provides goods/services (non-business) Friends or family Coworker, classmate, or fellow military Other people Back to top 41 No. 55 54 184 32 43 368 % 15 15 50 9 12 100 Transaction-level Variables late fee Description Whether a late fee was charged for this payment. late fee 0 1 Total Survey Question q67 e Coding 0 1 No Yes Back to top 42 No. 1,333 35 1,368 % 97 3 100 Transaction-level Variables logo Description The logo of the credit, debit, or prepaid card used. Survey Question q101b, q101e, q101h Details These three followups are combined since they all relate to different kinds of cards (debit, credit, prepaid). Note that not every option is available for every card type. Coding 1 2 3 4 5 6 7 Visa Mastercard Discover Company/store brand American Express Diner’s club/other charge card Other Back to top 43 logo 0 1 2 3 4 5 6 7 8 Total No. 90 2,781 1,087 199 171 78 152 24 20 4,602 % 2 60 24 4 4 2 3 1 0 100 Transaction-level Variables merch Description Merchant – 8 categories. Survey Question Drop-down box in the purchases module and pay090 for 9-coded merchants. Questions q66 02, q66 07, q66 08, q66 09, q66 11, q66 20, q66 21, q66 22, q66 23, q66 35 in the bills module. Details As reported in the purchases module, with 9coded merchants being recategorized based on the followup pay090 and 10-coded merchants set to missing. The bills module followups (q66 *) are recategorized into the 8 merchant codes. Coding 1 2 3 4 5 6 7 8 9 Financial services provider Education provider Medical care provider Government Non-profit/charity A person Retail store or online retailer Business that primarily sells services Other Back to top 44 merch 1 2 3 4 5 6 7 8 Total No. 675 44 185 251 256 447 6,367 1,078 9,303 % 7 0 2 3 3 5 68 12 100 Transaction-level Variables merch orig Description The original merchant category that the respondent used to report the payment, without any recategorization of other responses, or backwardsimputation of bill reminder module payments into merchant categories, etc. Survey Question Drop-down box in the purchases module. Coding 1 2 3 4 5 6 7 8 9 Financial services provider Education provider Medical care provider Government Non-profit/charity A person Retail store or online retailer Business that primarily sells services Other Back to top 45 merch orig No. 1 211 2 36 3 120 4 123 5 127 6 368 7 5,921 8 508 9 802 Total 8,216 % 3 0 1 1 2 4 72 6 10 100 Transaction-level Variables mobile funding Description How this mobile payment was funded. mobile funding 1 2 4 6 Total Survey Question q101 mobile b Coding 1 2 3 4 5 6 Credit card Debit card Prepaid card Linked bank account Money stored in payment service (e.g. paypal) Other Back to top 46 No. 7 12 5 6 30 % 23 40 17 20 100 Transaction-level Variables mobile method Description How this mobile payment was completed. mobile method 1 2 3 4 Total Survey Question q150 Coding 1 2 3 4 Tapped to pay Scanned QR code or showed screen to cashier Paid in advance or remotely (e.g. Uber) Used a web browser Back to top 47 No. 19 25 11 4 59 % 32 42 19 7 100 Transaction-level Variables mobile type Description Type of mobile payment. mobile type 1 2 3 4 Total Survey Question q101 mobile a Coding 1 2 3 4 App payment Text message payment Payment made in browser Other Back to top 48 No. 24 1 1 4 30 % 80 3 3 13 100 Transaction-level Variables module Description Module from which this observation was drawn. This can be helpful in mapping observations back to their source in the survey instrument, to understand why certain variables may have missing values. Survey Question q106a-d, q120, q122 Details Note that ”Cash lost/stolen/found/forex/etc” does not come from a separate module, but rather from questions q106a-d, q120, and q122. Back to top 49 Transaction-level Variables monord date Description Date on which the money order was purchased. monord date 1 2 3 4 Total Survey Question q103s Coding 1 2 3 4 5 Today 1 to 6 days ago 7 to 13 days ago 14 to 29 days ago 30 or more days ago Back to top 50 No. 6 3 1 1 11 % 55 27 9 9 100 Transaction-level Variables monord source Description Where the money order was purchased from. monord source 1 2 3 4 Total Survey Question q103r Coding 1 2 3 4 Bank Post office Western Union or someplace similar Other Back to top 51 No. % 5 42 4 33 1 8 2 17 12 100 Transaction-level Variables otherpi funding Description The method by which the ’other’ payment instrument is funded. otherpi funding 1 2 4 5 Total Survey Question q101i followup Coding 1 2 3 4 5 Credit card Debit card Prepaid card Bank account number Other Back to top 52 No. 28 3 5 1 37 % 76 8 14 3 100 Transaction-level Variables otherpi type Description The type of ’other’ payment instrument used by the respondent. otherpi type 1 4 5 Total Survey Question q101i Coding 1 2 3 4 5 EZPass or other electronic toll device Apple Pay Bitcoin or other virtual currency Remittance Other Back to top 53 No. % 35 41 2 2 49 57 86 100 Transaction-level Variables ow type Description The type of ”Other Withdrawal” reported in the other withdrawals module. This is a place for respondents to report if they purchased any money orders, traveler’s checks, or certified checks on a diary day. Survey Question N/A Coding 1 2 3 Money order Traveler’s check Certified check Back to top 54 ow type 1 2 3 Total No. 19 1 6 26 % 73 4 23 100 Transaction-level Variables pay timing Description Date on which OBBP/BANP payment is scheduled to pay. pay timing 1 2 Total Survey Question q103n Coding 1 2 Today At a later date Back to top 55 No. 298 60 358 % 83 17 100 Transaction-level Variables payment Description Whether the transaction is a payment. A payment is defined as a transaction with a nonmissing payment instrument. It may, in some cases, be an asset transfer – for instance, if a person uses a debit card to buy a bond – or it may be an expenditure – buying a cup of coffee with cash. It does not, however, include direct transfers from one owned account to another. payment 0 1 Total Survey Question N/A Details For non-placeholder transactions, payment is set equal to 1 if pi is not missing, or if the transaction was reported in the Purchases or Bills module of the questionnaire. Otherwise it is set to 0. Coding 0 1 No Yes Back to top 56 No. 1,829 9,674 11,503 % 16 84 100 Transaction-level Variables pi Description Payment instrument. pi 1 2 3 4 5 6 7 8 10 11 12 13 14 Total Survey Question Drop-down box in a large number of modules. Details Note that while ”Traveler’s Check” was an option, it was never chosen by respondents. Coding 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Cash Check Credit card Debit card Prepaid/gift/EBT card Bank account number payment Online banking bill payment Money order Traveler’s check PayPal Account-to-account transfer Mobile phone payment Other payment method Deduction from income Back to top 57 No. 2,890 586 2,226 2,441 231 392 571 31 54 63 40 92 43 9,660 % 30 6 23 25 2 4 6 0 1 1 0 1 0 100 Transaction-level Variables pin Description Whether a PIN was used for this transaction. pin 0 1 Total Survey Question q101c Details An indicator variable constructed from q101c’s ”PIN” response. It is included for convience, and to help the data match 2012. Coding 0 1 No Yes Back to top 58 No. 1,212 1,078 2,290 % 53 47 100 Transaction-level Variables ppload loc Description Location of prepaid load. ppload loc 1 2 3 4 5 6 8 Total Survey Question Drop-down box in the prepaid loads module. Coding 1 2 3 4 5 6 7 8 Retail location Online Mobile phone ATM Card machine Bank teller Check casher Other location Back to top 59 No. 6 7 7 1 1 1 9 32 % 19 22 22 3 3 3 28 100 Transaction-level Variables prior goods time Description Approximate time when goods or services were ordered or received. prior goods time 1 2 3 4 Total Survey Question pay702 Coding 1 2 3 4 Within the last month Between 1 and 3 months ago Between 3 months and 1 year ago Longer than 1 year ago Back to top 60 No. 111 6 4 6 127 % 87 5 3 5 100 Transaction-level Variables purpose Description A qualitative description of the payment’s purpose, as determined by the various merchant followup questions, as well as the categories in the bill reminder module. Survey Question pay010, pay020, pay030, pay040, pay041, pay050, pay082, pay090, pay700, as well as the bill reminder categories Details In general, the diary has two kinds of merchant followups: ”who did you pay” and ”what did you buy”. This variable is constructed based on the response to the ”what did you buy” followup responses. A complete treatment of the mapping between the various questions and their ultimate codings cannot be given here. However, careful study of the questionnaire and the values of this variable should make it clear how the responses were categorized. Coding 1 2 3 4 5 6 7 8 Loan repayment Insurance payment Travel or transportation Utilities Government taxes or fines Housing (excluding utilities) Miscellaneous goods or services Other purpose Back to top 61 purpose 1 2 3 4 5 6 7 Total No. 648 176 267 617 75 124 587 2,494 % 26 7 11 25 3 5 24 100 Transaction-level Variables receipt timing Description Whether bill payment was for previously received goods/services or future goods/services. receipt timing 1 3 Total Survey Question pay002d Coding 1 2 Previously received goods/services Goods/services to be received in the future Back to top 62 No. 585 237 822 % 71 29 100 Transaction-level Variables regularity Description The regularity of the bill. regularity 1 2 3 Total Survey Question pay002 Details pay002 asks not only whether the payment was a bill, but whether the bill is paid regularly. This variable is constructed from the ”regularity” portion of the question. Coding 1 2 3 Regularly recurring One time Recurring but irregular Back to top 63 No. 979 283 107 1,369 % 72 21 8 100 Transaction-level Variables rem howmade Description How the remittance was made. rem howmade 5 Total Survey Question Drop-down box is the remittances module. Coding Back to top 64 No. 2 2 % 100 100 Transaction-level Variables rewards Description Whether the card used offers rewards. rewards 0 1 2 Total Survey Question q103i, q101p Coding 0 1 2 No Yes I don’t know Back to top 65 No. 2,350 1,958 73 4,381 % 54 45 2 100 Transaction-level Variables submerch Description A more specific set of merchant categories, where possible. The variable submerch is based on four followup questions which are reached when the respondent chooses merchants ”Medical care provider”, ”Retail store or online retailer”, or ”Other merchant”. Note that ”Other merchant” does not appear is the final version of the dataset, as all of the transactions were recategorized based on the followups. Survey Question pay030, pay600, pay602, pay090 Details In general, the diary has two kinds of merchant followups: ”who did you pay” and ”what did you buy”. This variable is constructed based on the response to the ”who did you pay” followup responses. pay030 responses 1 through 4 are given their own categories, as are all pay600 responses excluding 4 (which is given a subpurpose code). Other than that, it is based entirely on responses to pay090. 66 submerch 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 29 30 31 33 34 Total No. 97 16 175 7 1,194 713 368 85 1,238 577 57 11 67 19 126 205 104 44 41 5 51 10 131 145 11 25 1 79 8 105 11 19 5,745 % 2 0 3 0 21 12 6 1 22 10 1 0 1 0 2 4 2 1 1 0 1 0 2 3 0 0 0 1 0 2 0 0 100 Coding 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 29 30 31 33 34 Doctor, dentist, other health care professional Hospital, residential care, other medical institution Pharmacy Insurance company Grocery store Gas station Convenience store Liquor store Fast food restaurant, food service, food truck Sit down restaurant Bar Auto rental and leasing stores Auto maintenance and repair Auto vehicle and parts dealers and websites Clothing and accessories stores and websites Department and discount stores and websites, wholesale clubsand websites Furniture and home goods stores, appliance and electronics stores, hardware and garden stores and website Movie theaters Mail, delivery, storage provider Rental centers Online shopping (Amazon.com, etc.) Online and print news, online games Other stores (book, florist, hobby, music, office supply, pet, sporting goods) and websites Personal care, dry cleaning, pet grooming and sitting, photo processing salons and stores Stores that repair electronics and personal and household goods Tuition, child care, elder care, youth and family services, emergency and other relief services Employment services, travel agents, security services, office and administrative services Vending machine Veterinarians Entertainment, recreation, arts, museums Legal accounting, architectural, and other professional services Hotels, motels, RV parks, and camps Back to top 67 Transaction-level Variables subpurpose Description A more specific set of purpose categories, where possible. Missing values of subpurpose should be interpreted to mean that no more specific categorization of this transaction’s purpose is possible. They should not be interpreted to mean that the transaction does not belong in any of the other categories. For example it is entirely possible that a transaction with purpose code 1 and a missing subpurpose category is a mortgage payment, even though mortgage is one of the possible subpurpose categories. Survey Question pay010, pay020, pay030, pay040, pay041, pay050, pay082, pay090, pay700, as well as the bill reminder categories Details In general, the diary has two kinds of merchant followups: ”who did you pay” and ”what did you buy”. This variable is constructed based on the response to the ”what did you buy” followup responses. A complete treatment of the mapping between the various questions and their ultimate codings cannot be given here. However, careful study of the questionnaire and the values of this variable should make it clear how the responses were categorized. 68 Coding 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 Credit card Mortgage HEL HELOC Car loan Student loan Loan from another person Other type of loan Health insurance Life insurance Umbrella insurance Vehicle insurance Homeowners or renter’s insurance Other type of insurance Parking Tolls Hotels and motels, RV parts, camps Public transportation Trash collection Electricity/natural gas/water/sewer/heating oil/propane Landline, cable, internet, mobile phone (possibly bundled) Federal taxes State taxes Local taxes Property taxes Car/vehicle taxes Rent Building contractor services Building services Homeowner’s association or condo fees Personal gift or allowance Alimony/child support Charitable donation Pay a fee Transfer money to another account Make an investment Lend money Memberships and subscriptions Used goods Tuition Child care Purchase goods and services 69 Back to top Transaction-level Variables time Description The time of the transaction. Survey Question Clock widget in the various modules. Back to top 70 Transaction-level Variables to account Description The account to which the funds for this transaction were transfered. Survey Question N/A Details from account and to account are purely constructed variables which tracks the movement of money between accounts, as well as tracking which accounts expenditures came from and which accounts income went to. They should generally be used in conjunction with type to truly understand the movement of money. Coding 1 2 3 4 5 6 7 8 Currency Primary checking Other DDA account Nonfiancial deposit account (e.g. paypal, prepaid card) Investment account Credit account Other long-term assets Other account (including uncashed checks and money orders) Back to top 71 to account 1 2 3 4 5 6 7 8 Total No. 906 624 93 37 31 543 60 65 2,359 % 38 26 4 2 1 23 3 3 100 Transaction-level Variables tran account Description Checking transfer-specific followup regarding the destination account. Survey Question Drop-down box in the checking transfers (checking withdrawals) module. Coding 1 2 3 4 5 6 7 Another checking or savings account I own Another checking or savings account belonging to someone else Investment account I own Investment account belonging to someone else General purpose reloadable prepaid card I own General purpose reloadable prepaid owned by other person Other Back to top 72 tran account 1 2 3 5 7 Total No. 54 18 3 4 11 90 % 60 20 3 4 12 100 Transaction-level Variables tran days Description Number of days in which the recipient of the checking transfer is supposed to receive the funds. Survey Question Drop-down box in the checking transfers (checking withdrawals) module. Coding 0 1 2 3 4 5 6 7 8 Today Tomorrow Two days Three days Four days Five days Six days One week More than one week Back to top 73 tran days 0 1 2 3 4 5 8 Total No. 66 6 4 2 1 1 1 81 % 81 7 5 2 1 1 1 100 Transaction-level Variables tran inst Description Whether the funds were transferred to an account at the same institution. tran inst 0 1 Total Survey Question Drop-down box in the checking transfers (checking withdrawals) module. Coding 0 1 No Yes Back to top 74 No. 20 69 89 % 22 78 100 Transaction-level Variables tran min Description Whether there was a transaction minimum for this purchase using this payment instrument. tran min 0 1 2 Total Survey Question q101k, q101m, q101n, q101u Details The different survey questions listed above relate to different types of payment instruments. Coding 0 1 2 No Yes I don’t know Back to top 75 No. 4,690 177 1,619 6,486 % 72 3 25 100 Transaction-level Variables type Description The type of transaction – expenditure, transfer, or income. Also identify placeholder observations. type 0 1 2 3 Total Survey Question In some cases, based purely on the module in which the transaction is reported. In other cases, based on the response to followup questions. No. 7,606 8,959 1,322 1,222 19,109 % 40 47 7 6 100 Details Expenditures are defined as money or liquidity moving out of a respondent’s possession. Transfers are defined as money or liquidity moving from one account/form to another – for instance, a cash withdawal. Income is defined as money coming into the respondents possession. Expenditures typically come from the purchases or bills modules, income from the income module, and transfers from the rest of the modules, though there are some exceptions. Placeholder observations are added for every respondent-day, and exist to allow for easier filtering of variables without having to worry about accidentally removing respondents from the dataset. Coding 0 1 2 3 Placeholder Expenditure Transfer Income Back to top 76 Transaction-level Variables unexpected Description Whether this expenditure was unexpected. unexpected 0 1 Total Survey Question q151 a Coding 0 1 No Yes Back to top 77 No. 350 53 403 % 87 13 100 Transaction-level Variables unpaid bal Description Whether this card had a rolled-over balance after the previous bill payment. unpaid bal 0 1 Total Survey Question q103c Coding 0 1 No Yes Back to top 78 No. 1,626 475 2,101 % 77 23 100 Transaction-level Variables why not billpref Description Why the respondent did not use his or her preferred bill payment method. The preferred payment method is as reported in variable paypref b1. Survey Question q103h Coding 1 2 3 4 5 6 7 8 9 10 Preferred method not accepted Did not have preferred method at hand I did not have enough money available Payment would have been late Security of the transaction Received a discount Would have paid a surcharge Transaction size Different preference for this merchant Other Back to top 79 why not billpref No. 1 133 2 32 3 17 4 29 5 81 6 30 7 30 8 144 9 515 10 249 Total 1,260 % 11 3 1 2 6 2 2 11 41 20 100 Transaction-level Variables why not pref Description Why the respondent did not use his or her preferred non-bill payment method. The preferred payment method is as reported in variable paypref nb1. Survey Question q103b Coding 1 2 3 4 5 6 7 8 9 Preferred method not accepted Did not have preferred method at hand Speed of payment Security of the transaction Received a discount Would have paid a surcharge Transaction size Different preference for this merchant Other Back to top 80 why not pref No. 1 198 2 186 3 384 4 71 5 84 6 21 7 805 8 470 9 417 Total 2,636 % 8 7 15 3 3 1 31 18 16 100 Transaction-level Variables why pi Description Why the respondent chose to use this payment method. why pi No. 1 544 2 381 3 308 4 799 5 250 6 4,515 7 36 8 437 9 693 10 245 Total 8,208 Survey Question q108 a Coding 1 2 3 4 5 6 7 8 9 10 Merchant acceptance Cost Payment records Speed Security Convenience Getting or setting up Budgeting Rewards Other Back to top 81 % 7 5 4 10 3 55 0 5 8 3 100 Transaction-level Variables why pi security Description What kind of security was most important in choosing this payment method? This is a followup question to those who chose ”security” as his or her reason for using a given payment method. why pi security No. 1 119 2 88 3 40 Total 247 Survey Question q108 b Coding 1 2 3 Security of your personal information Security against permanent financial loss Security of transaction information Back to top 82 % 48 36 16 100 Transaction-level Variables why pi speed Description What kind of speed was most important in choosing this payment method? This is a followup question to those who chose ”speed” as his or her reason for using a given payment method. Survey Question why pi speed No. 1 631 2 35 3 118 4 14 Total 798 q108 c Coding 1 2 3 4 Speed at time of payment Speed of payment deduction from your bank account or prepaid card Speed of recipient receiving payment Speed of notification of new balance of your account Back to top 83 % 79 4 15 2 100 Day-level Variables date Description The date of the diary day. Each diarist participated in the diary for four consecutive days, with efforts made to ensure a representative sample of Americans on any given day. The dates range from October 13, 2015 to 17 December, 2015. Some diarists participated in the diary twice. In order to ensure the representativeness of the sample and to eliminate any biases from diary fatigue, it is recommended that only dates between October 16 and December 15 be considered. Survey Question N/A Details In most cases, this variable is determined by the date on which the transaction was reported. For some bills, the date is reported by the respondent on diary day 3 and reassigned ex-post. Back to top 84 Day-level Variables carry acnt2acnt Description Whether the repsondent had the ability to make an account to account transfer that day. carry acnt2acnt No. 0 3,024 1 496 Total 3,520 Survey Question q97 Details Indicator variable set to 1 if respondent checked option 11. Coding 0 1 No Yes Back to top 85 % 86 14 100 Day-level Variables carry banp Description Whether respondent had the ability to make a bank account number payment that day. carry banp 0 1 Total Survey Question q97 Details Indicator variable set to 1 if respondent checked option 6. Coding 0 1 No Yes Back to top 86 No. 2,671 849 3,520 % 76 24 100 Day-level Variables carry cc Description Whether respondent carried cash on that diary day. carry cc 0 1 Total Survey Question q97 Details Indicator variable set to 1 if respondent checked option 3. Coding 0 1 No Yes Back to top 87 No. 962 2,558 3,520 % 27 73 100 Day-level Variables carry chk Description Whether respondent carried checks on that diary day. carry chk No. 0 1,815 1 1,705 Total 3,520 Survey Question q97 Details Indicator variable set to 1 if respondent checked option 2. Coding 0 1 No Yes Back to top 88 % 52 48 100 Day-level Variables carry csh Description Whether respondent carried credit cards on that diary day. carry csh 0 1 Total Survey Question q97 Details Indicator variable set to 1 if respondent checked option 1. Coding 0 1 No Yes Back to top 89 No. 610 2,910 3,520 % 17 83 100 Day-level Variables carry dc Description Whether respondent carried debit cards on that diary day. carry dc No. 0 976 1 2,544 Total 3,520 Survey Question q97 Details Indicator variable set to 1 if respondent checked option 4. Coding 0 1 No Yes Back to top 90 % 28 72 100 Day-level Variables carry mobile Description Whether respondent carried mobile device capable of making text message payments on that diary day. carry mobile 0 1 Total Survey Question q97 Details Indicator variable set to 1 if respondent checked option 12. Coding 0 1 No Yes Back to top 91 No. 3,054 466 3,520 % 87 13 100 Day-level Variables carry monord Description Whether respondent carried money orders on that diary day. carry monord No. 0 3,449 1 71 Total 3,520 Survey Question q97 Details Indicator variable set to 1 if respondent checked option 8. Coding 0 1 No Yes Back to top 92 % 98 2 100 Day-level Variables carry obbp Description Whether respondent had the ability to make an online banking bill payment that day. carry obbp No. 0 2,598 1 922 Total 3,520 Survey Question q97 Details Indicator variable set to 1 if respondent checked option 7. Coding 0 1 No Yes Back to top 93 % 74 26 100 Day-level Variables carry other Description Whether respondent carried other payment methods on that diary day. Survey Question q97 Details Indicator variable set to 1 if respondent checked option 13. Coding 0 1 No Yes Back to top 94 carry other No. 0 3,488 1 32 Total 3,520 % 99 1 100 Day-level Variables carry paypal Description Whether the repsondent had the ability to make a Paypal payment that day. carry paypal No. 0 2,881 1 639 Total 3,520 Survey Question q97 Details Indicator variable set to 1 if respondent checked option 10. Coding 0 1 No Yes Back to top 95 % 82 18 100 Day-level Variables carry svc Description Whether respondent carried a prepaid card (stored value card) on that diary day. Survey Question q97 Details Indicator variable set to 1 if respondent checked option 5. Coding 0 1 No Yes Back to top 96 carry svc 0 1 Total No. 2,839 681 3,520 % 81 19 100 Day-level Variables carry tc Description Whether respondent carried traveler’s checks on that diary day. carry tc No. 0 3,497 1 23 Total 3,520 Survey Question q97 Details Indicator variable set to 1 if respondent checked option 9. Coding 0 1 No Yes Back to top 97 % 99 1 100 Day-level Variables daily weight Description Whether respondent carried travelers checks on that diary day. Survey Question N/A Details Raked post-stratification weights. Daily weights are best used for producing single-day estimates. Unlike individual weights, daily weights are not trimmed. These particular daily weights cor0 respond to rps w day a uasgfk in the full weights N dataset. See Angrisani, M, 2015 Survey and Diary of Consumer Payment Choice Weighting 5508 Procedure (2016) for more information about the construction of the weights. Back to top 98 1 2 min 0.0297654 med 0.815792 3 mean 1.0245 4 max 8.09773 sd 0.76415 Day-level Variables denom 100 end Description The number of 100 dollar bills carried at the end of the diary day. Survey Question From the ”Count your Paper Cash” screen at the end of each diary day. Details Some amounts are cleaned when it is clear that the individual accidentally reported the dollar value rather than the count of bills. Back to top 0 N min 7604 0 99 1 med 0 2 3 mean max 0.164913 60 4 sd 1.18449 Day-level Variables denom 10 end Description The number of 10 dollar bills carried at the end of the diary day. Survey Question From the ”Count your Paper Cash” screen at the end of each diary day. Details Some amounts are cleaned when it is clear that the individual accidentally reported the dollar value rather than the count of bills. Back to top 0 N 7604 100 1 min 0 2 3 med mean 0 0.479879 4 max sd 31 1.1301 5 Day-level Variables denom 1 end Description The number of 1 dollar bills carried at the end of the diary day. Survey Question From the ”Count your Paper Cash” screen at the end of each diary day. Details Some amounts are cleaned when it is clear that the individual accidentally reported the dollar value rather than the count of bills. Back to top 0 N min 7604 0 101 5 10 med 2 15 mean max 2.8266 170 sd 4.32055 20 Day-level Variables denom 20 end Description The number of 20 dollar bills carried at the end of the diary day. Survey Question From the ”Count your Paper Cash” screen at the end of each diary day. Details Some amounts are cleaned when it is clear that the individual accidentally reported the dollar value rather than the count of bills. Back to top 0 N 7604 102 5 min 0 med mean 0 1.60337 10 15 max sd 48 2.98512 Day-level Variables denom 2 end Description The number of 2 dollar bills carried at the end of the diary day. Survey Question From the ”Count your Paper Cash” screen at the end of each diary day. Details Some amounts are cleaned when it is clear that the individual accidentally reported the dollar value rather than the count of bills. Back to top 0 .2 N min 7604 0 103 .4 med 0 .6 mean max 0.0386639 20 .8 1 sd 0.579204 Day-level Variables denom 50 end Description The number of 50 dollar bills carried at the end of the diary day. Survey Question From the ”Count your Paper Cash” screen at the end of each diary day. Details Some amounts are cleaned when it is clear that the individual accidentally reported the dollar value rather than the count of bills. Back to top 0 N min 7604 0 104 .5 med 0 1 1.5 mean max 0.0846923 50 2 sd 0.71432 Day-level Variables denom 5 end Description The number of 5 dollar bills carried at the end of the diary day. Survey Question From the ”Count your Paper Cash” screen at the end of each diary day. Details Some amounts are cleaned when it is clear that the individual accidentally reported the dollar value rather than the count of bills. Back to top 0 N 7604 105 2 min 0 4 med mean 0 0.789716 6 max sd 30 1.4406 8 Day-level Variables diary day Description Diary days are numbered between 0 and 3. Note that certain account balances and income payments are reported on diary day 0, but no transactions. Survey Question N/A Back to top 106 Day-level Variables end cash bal Description The end-of-day balance of the cash carried by the respondent. Survey Question From the ”Count your Paper Cash” screen at the end of each diary day. Details Implied by the number of each bill that the respondent reports carrying. Back to top 0 N min 7604 0 107 200 med 23 400 mean 64.4456 max 9500 600 sd 172.109 Day-level Variables nopayments Description Why the respondent made no payments on a given day. nopayments 1 2 3 4 Total Survey Question q98a Coding 1 2 3 4 I didn’t need to make payments today I was too busy to make payments today I’m trying to spend less Other Back to top 108 No. 1,676 89 81 148 1,994 % 84 4 4 7 100 Day-level Variables payday tender Description How the payday loan was paid to the respondent. payday tender 3 4 Total Survey Question pay615 b Details While this question allows respondents to ”check all that apply”, it so happens that no respondent chose more than one option. Coding 1 2 3 4 Cash Check Direct deposit Other Back to top 109 No. % 2 67 1 33 3 100 Day-level Variables paypal bal Description The balance of the respondent’s PayPal account. Survey Question paypal balday0 Back to top 0 N 172 110 500 min 0 1000 med mean 4 126.017 1500 max 3000 2000 sd 397.905 Day-level Variables paypal bal date Description The date on which the PayPal balance was checked. Survey Question pa074 date Back to top 20250 N 166 111 20300 min 20256 med 20412 20350 mean 20407.1 20400 max 20437 20450 sd 26.0395 Day-level Variables paypal bal time Description The time at which the PayPal balance was checked. Survey Question pa074 time Back to top 0 500 N min 172 109 112 1000 med 1913.5 1500 mean 1756.48 2000 max 2448 2500 sd 531.258 Day-level Variables start cash bal Description The start-of-day balance of cash holdings. Survey Question From the ”Count your Paper Cash” screen at the end of each diary day. Details Set equal to the end cash bal of the day before. Note that this variable is for convenience and does not include a value for diary day 0. The variable end cash bal is more comprehensive. Back to top 0 N min 5703 0 113 200 med 24 400 mean 66.3142 600 max 9500 800 sd 185.454 Day-level Variables traveled Description Whether the respondent traveled on this diary day. traveled 0 1 Total Survey Question q13 Coding 0 1 No Yes Back to top 114 No. 5,468 213 5,681 % 96 4 100 Day-level Variables wmy pass used Description Number of times a weekly, monthly, or yearly transportation pass was used on this day. wmy pass used 0 1 2 3 4 5 20 Total Survey Question q11, q12 Coding 0 1 No Yes Back to top 115 No. 894 51 21 3 8 3 1 981 % 91 5 2 0 1 0 0 100 Diary-level Variables diary Description Some respondents agreed to take the diary multiple times. This variable, combined with prim key, can be used to uniquely identify a diary. Survey Question N/A Coding 1 2 First diary Second diary Back to top 116 diary 1 2 Total No. 1,392 509 1,901 % 73 27 100 Diary-level Variables acct mostused1 Description The respondent’s most used payment account. acct mostused1 No. 1 412 2 929 3 388 4 20 5 2 6 7 8 7 10 6 Total 1,771 Survey Question q mostusedpayacnt 1, q mostusedpayacnt 2, q mostusedpayacnt 3a, q mostusedpayacnt 3c Details These four questions are combined to create a rank ordering of the most-used payment accounts. Note that cash is always present. Also note that if cash is listed as acct mostused3, it is not necessarily the respondent’s third mostused payment account. Coding 1 2 3 4 5 6 7 8 9 10 Cash Checking account Credit card General purpose prepaid card PayPal Money order Traveler’s check Mobile phone payments None Other Back to top 117 % 23 52 22 1 0 0 0 0 100 Diary-level Variables acct mostused2 Description The respondent’s second most used payment account. acct mostused2 1 2 3 4 5 6 8 10 Total Survey Question q mostusedpayacnt 1, q mostusedpayacnt 2, q mostusedpayacnt 3a, q mostusedpayacnt 3c Details These four questions are combined to c reate a rank ordering of most used payment accounts. Note that cash is always present. Coding 1 2 3 4 5 6 7 8 9 10 Cash Checking account Credit card General purpose prepaid card PayPal Money order Traveler’s check Mobile phone payments None Other Back to top 118 No. 506 229 51 14 2 21 8 1 832 % 61 28 6 2 0 3 1 0 100 Diary-level Variables acct mostused3 Description Either cash or the respondent’s third most used payment account. acct mostused3 No. 1 594 2 237 3 419 4 43 5 23 6 45 8 54 10 9 Total 1,424 Survey Question q mostusedpayacnt 1, q mostusedpayacnt 2, q mostusedpayacnt 3a, q mostusedpayacnt 3c Details These four questions are combined to c reate a rank ordering of most used payment accounts. Note that cash is always present. Also note that if cash is listed as acct mostused3, it is not necessarily the respondent’s third most-used payment account. Coding 1 2 3 4 5 6 7 8 9 10 Cash Checking account Credit card General purpose prepaid card PayPal Money order Traveler’s check Mobile phone payments None Other Back to top 119 % 42 17 29 3 2 3 4 1 100 Diary-level Variables age Description Respondent’s age, in years. Survey Question Calculated from date of birth. Details Date of birth is used as reported in My Household Questionnaire. For respondents who have birthdays during the diary period, the age is set to be the greater of the two ages. Back to top 20 N min 1901 18 120 40 med 48 60 mean max 48.1573 89 80 sd 15.385 Diary-level Variables cc airmiles Description Whether the credit card used provides air mileage rewards. Survey Question q103 e Coding 0 1 No Yes Back to top 121 cc airmiles 0 1 Total No. 257 69 326 % 79 21 100 Diary-level Variables cc cashback Description Whether the credit card used provides cash back rewards. Survey Question q103 e Coding 0 1 No Yes Back to top 122 cc cashback 0 1 Total No. 131 195 326 % 40 60 100 Diary-level Variables cc otherreward Description Whether the credit card used provides some other type of rewards. Survey Question q103 e Coding 0 1 No Yes Back to top 123 cc otherreward 0 1 Total No. 304 22 326 % 93 7 100 Diary-level Variables cc points Description Whether the credit card used provides points for shopping as a reward. cc points 0 1 Total Survey Question q103 e Coding 0 1 No Yes Back to top 124 No. 229 97 326 % 70 30 100 Diary-level Variables cc repay plan Description How the respondent intends to repay the credit card. cc repay plan 1 2 Total Survey Question pay609aa Coding 1 2 Pay in full when bill arrives Pay over time in several payments Back to top 125 No. 355 44 399 % 89 11 100 Diary-level Variables census division Description The census division in which the respondent lives. census division 1 2 3 4 5 6 7 8 9 Total Survey Question From UAS My Household Questionnaire. Details Built from the state reside variable, which is not available in the public dataset for privacy reasons. Coding 1 2 3 4 5 6 7 8 9 New England Middle Atlantic East North Central West North Central South Atlantic East South Central West South Central Mountain Pacific Back to top 126 No. 68 167 267 123 321 75 183 146 233 1,583 % 4 11 17 8 20 5 12 9 15 100 Diary-level Variables chk bal day0 Description Checking account balance, as reported on day 0. Survey Question pa072 a Back to top 0 N 1705 127 10000 min -1000 20000 med 1157 30000 mean 4623.28 40000 max 821200 50000 sd 22692 Diary-level Variables chk bal day3 Description Checking account balance, as reported on day 3. Survey Question pa073 a Back to top 0 N 1343 128 20000 min -1000 med 1076 40000 mean 4947.47 max 384531 60000 sd 18533.7 Diary-level Variables citizen Description Whether respondent is a US citizen. Note: This variable is not provided in the public dataset. citizen 0 1 Total Survey Question citizenus Details As reported in My Household Questionnaire. Coding 0 1 No Yes Back to top 129 No. 30 1,555 1,585 % 2 98 100 Diary-level Variables denom 100 stored Description The number of 100 dollar bills stored. Survey Question Reported in the ”Count your paper cash stored elsewhere” screen on day 0. Back to top 0 N 572 130 10 min 0 20 med mean 0 3.29371 30 40 max sd 170 10.6385 Diary-level Variables denom 10 stored Description The number of 10 dollar bills stored. Survey Question Reported in the ”Count your paper cash stored elsewhere” screen on day 0. Back to top 0 N 572 131 5 min 0 10 15 med mean 0 1.44231 20 max sd 100 6.63683 25 Diary-level Variables denom 1 stored Description The number of 1 dollar bills stored. Survey Question Reported in the ”Count your paper cash stored elsewhere” screen on day 0. Back to top 0 N 572 132 50 min 0 med mean 0 7.23252 100 max sd 515 36.6554 150 Diary-level Variables denom 20 stored Description The number of 20 dollar bills stored. Survey Question Reported in the ”Count your paper cash stored elsewhere” screen on day 0. Back to top 0 10 N min 572 0 133 20 med 1 30 mean max 5.59266 200 40 sd 12.504 50 Diary-level Variables denom 2 stored Description The number of 2 dollar bills stored. Survey Question Reported in the ”Count your paper cash stored elsewhere” screen on day 0. Back to top 0 N 572 134 5 min 0 med mean 0 0.681818 10 max sd 84 6.06649 15 Diary-level Variables denom 50 stored Description The number of 50 dollar bills stored. Survey Question Reported in the ”Count your paper cash stored elsewhere” screen on day 0. Back to top 0 N min 572 0 135 5 med 0 10 mean max 1.06294 60 15 sd 3.7821 Diary-level Variables denom 5 stored Description The number of 5 dollar bills stored. Survey Question Reported in the ”Count your paper cash stored elsewhere” screen on day 0. Back to top 0 N min 572 0 136 10 med 0 20 mean max 2.0035 192 30 sd 11.4792 Diary-level Variables e exp amnt Description As part of Diary Day 1, respondents were asked if they could cover an emergency expense. This is the amount of the emergency expenditure that respondents were asked if they could cover. Respondents were randomly assigned either 1000 or 3000 dollars. Survey Question scf005 Back to top 1000 N 1896 137 1500 min 1000 med 1000 2000 mean 1998.95 2500 max 3000 3000 sd 1000.26 Diary-level Variables e exp cc Description Diary Day 1, respondents were asked if they could cover an emergency expense. This is the amount of the emergency expenditure that respondents said they could cover using credit cards. Survey Question scf006 e Back to top 0 N min 763 0 138 1000 med 1000 mean 1023.85 2000 max 3000 3000 sd 1159.56 Diary-level Variables e exp chk Description Diary Day 1, respondents were asked if they could cover an emergency expense. This is the amount of the emergency expenditure that respondents said they could cover using money in their checking accounts. Survey Question scf006 b Back to top 0 N 994 139 1000 min 0 med mean 500 839.187 2000 max 3000 3000 sd 986.951 Diary-level Variables e exp cover Description Diary Day 1, respondents were asked if they could cover an emergency expense. This is the amount of the emergency expenditure that respondents said they could cover in total. Survey Question scf006 total Back to top 0 N min 1881 0 140 1000 med 1000 2000 mean 1447.84 max 3000 3000 sd 1119.37 Diary-level Variables e exp csh Description Diary Day 1, respondents were asked if they could cover an emergency expense. This is the amount of the emergency expenditure that respondents said they could cover using cash. Survey Question scf006 a Back to top 141 0 1000 N min 652 0 med 10 2000 mean 310.066 max 3000 3000 sd 612.53 Diary-level Variables e exp days Description Diary Day 1, respondents were asked if they could cover an emergency expense. This is the number of days in which the emergency expenditure was due. Respondents were randomly assigned either 0 days, 3 days, or 7 days. Survey Question scf005 Back to top 0 N 1896 142 2 min 0 4 med mean 3 3.40137 6 max sd 7 2.84698 8 Diary-level Variables e exp fam Description Diary Day 1, respondents were asked if they could cover an emergency expense. This is the amount of the emergency expenditure that respondents said they could cover by getting money from family. Survey Question scf006 i Back to top 143 0 1000 N min 469 0 med 0 2000 mean 342.84 max 3000 3000 sd 776.441 Diary-level Variables e exp heloc Description Diary Day 1, respondents were asked if they could cover an emergency expense. This is the amount of the emergency expenditure that respondents said they could cover using a HELOC. Survey Question scf006 f Back to top 0 N 374 144 1000 min 0 med mean 0 122.679 2000 max 3000 3000 sd 514.793 Diary-level Variables e exp od Description Diary Day 1, respondents were asked if they could cover an emergency expense. This is the amount of the emergency expenditure that respondents said they could cover using overdraft protection. Survey Question scf006 d Back to top 0 N 366 145 200 min 0 400 med mean 0 39.9727 600 max 2222 800 1000 sd 190.419 Diary-level Variables e exp pawn Description Diary Day 1, respondents were asked if they could cover an emergency expense. This is the amount of the emergency expenditure that respondents said they could cover using a pawn shop. Survey Question scf006 h Back to top 0 N 358 146 200 min 0 400 med mean 0 40.8687 600 max 3000 800 1000 sd 270.081 Diary-level Variables e exp payday Description Diary Day 1, respondents were asked if they could cover an emergency expense. This is the amount of the emergency expenditure that respondents said they could cover using a payday loan. Survey Question scf006 g Back to top 0 N 364 147 500 min 0 1000 med mean 0 57.8022 1500 max 3000 2000 sd 293.907 Diary-level Variables e exp sav Description Diary Day 1, respondents were asked if they could cover an emergency expense. This is the amount of the emergency expenditure that respondents said they could cover using money in their savings accounts. Survey Question scf006 c Back to top 0 N 756 148 1000 min 0 med mean 500 953.069 2000 max 3000 3000 sd 1145.13 Diary-level Variables hh size Description Size of the household in which the respondent lives. Survey Question From UAS My Household Questionnaire. Back to top 1 N 1828 149 2 min 1 3 med mean 2 2.62363 4 5 max sd 10 1.34906 6 Diary-level Variables highest education Description Respondent’s highest level of education, if the respondent is from the UAS sample. highest education 4 5 6 7 8 9 10 11 12 13 14 15 16 Total Survey Question highesteducation Details This variable comes from UAS’s My Household Questionnaire. Be sure to also check highest education gfk if you intend to use education in your analysis. Coding 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Up to 1st grade 1st-4th grade 5th-6th grade 7th-8th grade 9th grade 10th grade 11th grade 12th grade, no diploma High school or equivalent Some college Associate degree, vocational Associate degree, academic Bachelor’s degree Master’s degree Professional School Degree Doctorate degree Back to top 150 No. 9 11 13 14 25 228 370 111 98 407 214 29 56 1,585 % 1 1 1 1 2 14 23 7 6 26 14 2 4 100 Diary-level Variables highest education gfk Description Respondent’s highest level of education, if the respondent is from the GfK sample. Survey Question N/A Details The GfK panel’s question regarding education level is different from UAS’s. While the categories can be easily made to overlap, we have left such decisions in the hands of the researcher. Coding 1 2 3 4 5 6 7 8 9 10 11 12 13 14 No formal education 1st-4th grade 5th-6th grade 7th-8th grade 9th grade 10th grade 11th grade 12th grade, no diploma High school or equivalent Some college, no degree Associate degree Bachelor’s degree Master’s degree Doctorate or Professional Degree Back to top 151 highest education gfk 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Total No. 1 2 1 2 1 7 7 8 84 61 32 56 39 15 316 % 0 1 0 1 0 2 2 3 27 19 10 18 12 5 100 Diary-level Variables home debt Description Approximate value of debt on primary home, including HELs and HELOCs. Survey Question de015 Details This is an SCPC variable merged into this dataset for convenience. Back to top 0 N min 1224 0 152 200000 med 72000 400000 mean 101168 max 890000 600000 sd 119636 Diary-level Variables home value Description Approximate market value of primary home. Survey Question de014 Details This is an SCPC variable merged into this dataset for convenience. Back to top 0 N min 1223 0 153 500000 med 200000 1000000 mean 245627 max 3.1e+06 1500000 sd 244316 Diary-level Variables homeowner Description Whether respondent owns primary home. homeowner 0 1 Total Survey Question de013 Details This is an SCPC variable merged into this dataset for convenience. Coding 0 1 No Yes Back to top 154 No. 658 1,233 1,891 % 35 65 100 Diary-level Variables inc alimony Description Whether the respondent receives alimony income. inc alimony 0 1 Total Survey Question q140 h Coding 0 1 No Yes Back to top 155 No. 1,790 5 1,795 % 100 0 100 Diary-level Variables inc alimony freq Description The frequency with which alimony income is received. inc alimony freq 3 4 9 Total Survey Question q141 h Coding 0 1 No Yes Back to top 156 No. 2 2 1 5 % 40 40 20 100 Diary-level Variables inc child Description Whether the respondent receives child support income. inc child 0 1 Total Survey Question q140 i Coding 0 1 No Yes Back to top 157 No. 1,726 68 1,794 % 96 4 100 Diary-level Variables inc child freq Description The frequency with which child support income is received. Survey Question q141 i Coding 0 1 No Yes Back to top 158 inc child freq 1 2 3 4 9 Total No. 10 19 7 24 8 68 % 15 28 10 35 12 100 Diary-level Variables inc gov Description Whether the respondent receives government assistance income. inc gov 0 1 Total Survey Question q140 g Coding 0 1 No Yes Back to top 159 No. 1,631 168 1,799 % 91 9 100 Diary-level Variables inc gov freq Description The frequency with which government assistance income is received. inc gov freq 1 2 3 4 8 Total Survey Question q141 g Coding 0 1 No Yes Back to top 160 No. 5 8 3 151 1 168 % 3 5 2 90 1 100 Diary-level Variables inc intdiv Description Whether the respondent receives interest or dividend income. inc intdiv 0 1 Total Survey Question q140 e Coding 0 1 No Yes Back to top 161 No. 1,497 311 1,808 % 83 17 100 Diary-level Variables inc intdiv freq Description The frequency with which interest or dividend income is received. inc intdiv freq 1 2 3 4 5 6 7 8 9 Total Survey Question q141 e Coding 0 1 No Yes Back to top 162 No. 1 2 2 169 90 24 1 7 14 310 % 0 1 1 55 29 8 0 2 5 100 Diary-level Variables inc rent Description Whether the respondent receives rental income. inc rent 0 1 Total Survey Question q140 f Coding 0 1 No Yes Back to top 163 No. 1,699 101 1,800 % 94 6 100 Diary-level Variables inc rent freq Description The frequency with which rental income is received. inc rent freq 1 2 3 4 5 6 9 Total Survey Question q141 f Coding 0 1 No Yes Back to top 164 No. 2 2 1 89 1 3 3 101 % 2 2 1 88 1 3 3 100 Diary-level Variables inc retempl Description Whether the respondent receives employer-paid retirement income. Survey Question q140 b Coding 0 1 No Yes Back to top 165 inc retempl 0 1 Total No. 1,583 233 1,816 % 87 13 100 Diary-level Variables inc retempl freq Description The frequency with which employer-paid retirement income is received. inc retempl freq 1 2 3 4 5 6 7 Total Survey Question q141 b Coding 0 1 No Yes Back to top 166 No. 1 4 2 213 2 6 2 230 % 0 2 1 93 1 3 1 100 Diary-level Variables inc retsav Description Whether the respondent receives IRA, 401(k), or other savings-based retirement income. inc retsav 0 1 Total Survey Question q140 j Coding 0 1 No Yes Back to top 167 No. 1,637 170 1,807 % 91 9 100 Diary-level Variables inc retsav freq Description The frequency with which IRA, 401(k), or other savings-based retirement income is received. Survey Question q141 j Coding 0 1 No Yes Back to top 168 inc retsav freq 1 2 3 4 5 6 7 8 9 Total No. 2 12 3 74 12 39 7 1 20 170 % 1 7 2 44 7 23 4 1 12 100 Diary-level Variables inc self Description Whether the respondent receives self-employment income. Survey Question q140 c Coding 0 1 No Yes Back to top 169 inc self 0 1 Total No. 1,592 211 1,803 % 88 12 100 Diary-level Variables inc self freq Description The frequency with which self-employment income is received. inc self freq 1 2 3 4 5 6 7 8 9 Total Survey Question q141 c Coding 0 1 No Yes Back to top 170 No. 37 19 14 50 10 5 5 4 67 211 % 18 9 7 24 5 2 2 2 32 100 Diary-level Variables inc ss Description Whether the respondent receives social security income. inc ss 0 1 Total Survey Question q140 d Coding 0 1 No Yes Back to top 171 No. 1,393 435 1,828 % 76 24 100 Diary-level Variables inc ss freq Description The frequency with which social security income is received. inc ss freq 1 2 3 4 6 7 Total Survey Question q141 d Coding 0 1 No Yes Back to top 172 No. 1 1 7 420 1 1 431 % 0 0 2 97 0 0 100 Diary-level Variables inc wage Description Whether the respondent receives wage income. inc wage 0 1 Total Survey Question q140 a Coding 0 1 No Yes Back to top 173 No. 776 1,048 1,824 % 43 57 100 Diary-level Variables inc wage freq Description The frequency with which wage income is received. inc wage freq No. 1 184 2 542 3 171 4 130 5 3 6 2 7 2 8 2 9 8 Total 1,044 Survey Question q141 a Coding 0 1 No Yes Back to top 174 % 18 52 16 12 0 0 0 0 1 100 Diary-level Variables income hh Description Household income. Survey Question de010 Details This is an SCPC variable merged into this dataset for convenience. Coding 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Less than 5,000 5,000-7,499 7,500-9,999 10,000-12,499 12,500-14,999 15,000-19,999 20,000-24,999 25,000-29,999 30,000-34,999 35,000-39,999 40,000-49,999 50,000-59,999 60,000-74,999 75,000-99,999 100,000-124,999 125,000-199,999 200,000-499,999 500,000 or more Back to top 175 income hh 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Total No. 82 31 30 51 42 68 89 83 90 95 148 157 203 251 189 212 59 5 1,885 % 4 2 2 3 2 4 5 4 5 5 8 8 11 13 10 11 3 0 100 Diary-level Variables ind weight Description Raked individual sample weights. Survey Question N/A Details Raked post-stratification weights. Individual weights are best used for producing full-sample full-period estimates. These particular daily weights correspond to rps w uasgfk in the full weights dataset. See Angrisani, M, 2015 Survey and 0 Diary of Consumer Payment Choice Weighting N Procedure (2016) for more information about the construction of the weights. 1901 Back to top 176 1 min 0.257302 2 med 0.794345 3 mean 1.02867 4 max 4.11839 sd 0.741845 Diary-level Variables interest level Description The self-reported level of interest the respondent had in the survey. interest level 1 2 3 4 5 Total Survey Question cs 001 Coding 1 2 3 4 5 Very interesting Interesting Neither interesting nor uninteresting Uninteresting Very uninteresting Back to top 177 No. 532 927 365 40 24 1,888 % 28 49 19 2 1 100 Diary-level Variables last income date Description The date on which the most recent income payment was received, as of diary day 0. Survey Question q18 Details Converted to Stata date format. Back to top 178 Diary-level Variables layaway Description Whether the respondent put a purchase on layaway during the three-day diary period. layaway 0 1 Total Survey Question pay613 Coding 0 1 No Yes Back to top 179 No. 1,868 17 1,885 % 99 1 100 Diary-level Variables male Description Whether respondent is male. male 0 1 Total Survey Question N/A Coding 0 1 No Yes Back to top 180 No. 1,006 895 1,901 % 53 47 100 Diary-level Variables marital status Description Respondent’s marital status. marital status 1 2 3 4 5 6 Total Survey Question From UAS My Household Questionnaire. Coding 1 2 3 4 5 6 Married, living together Married, spouse lives elsewhere Separated Divorced Widowed Never married Back to top 181 No. 894 22 24 260 76 309 1,585 % 56 1 2 16 5 19 100 Diary-level Variables memory checkbook Description Whether the respondent used the small checkbook memory aid. memory checkbook 0 1 Total Survey Question q25 Coding 0 1 No Yes Back to top 182 No. 1,336 551 1,887 % 71 29 100 Diary-level Variables memory finrec Description Whether the respondent referenced financial records as a memory aid. Survey Question q25 Coding 0 1 No Yes Back to top 183 memory finrec No. 0 1,078 1 809 Total 1,887 % 57 43 100 Diary-level Variables memory lpd Description Whether the respondent use the large paper diary as a memory aid. memory lpd 0 1 Total Survey Question q25 Coding 0 1 No Yes Back to top 184 No. 1,589 298 1,887 % 84 16 100 Diary-level Variables memory other Description Whether the respondent used some other memory aid. memory other 0 1 Total Survey Question q25 Coding 0 1 No Yes Back to top 185 No. 1,753 134 1,887 % 93 7 100 Diary-level Variables memory receipts Description Whether the respondent kept receipts to use as a memory aid. memory receipts 0 1 Total Survey Question q25 Coding 0 1 No Yes Back to top 186 No. 603 1,284 1,887 % 32 68 100 Diary-level Variables mobile howfunded Description How the mobile app used for the payment is funded. mobile howfunded 2 4 Total Survey Question q161 Coding 1 2 3 4 5 6 Credit card Debit card Prepaid card Linked bank account Money stored at payment service (e.g. PayPal) Other Back to top 187 No. 1 2 3 % 33 67 100 Diary-level Variables na oversample Description Whether the respondent is part of the Native American oversample. na oversample No. 0 1,825 1 76 Total 1,901 Survey Question N/A Coding 0 1 No Yes Back to top 188 % 96 4 100 Diary-level Variables new loan Description Whether a new loan was taken out during the three-day diary period. new loan No. 0 1,876 1 3 Total 1,879 Survey Question pay616 Coding 0 1 No Yes Back to top 189 % 100 0 100 Diary-level Variables new loan amnt Description The amount of the new loan taken out during the three-day diary period. Survey Question pay616 c Back to top 0 N 3 190 min 78 5000 1000015000 med mean 219 7876.33 max 23332 sd 13385.2 Diary-level Variables new loan purch amnt Description The amount of the purchase for which the new loan was taken. Survey Question pay616 b Back to top 0 5000 10000 15000 20000 N 3 191 min 6 med mean 219 11185.7 max 33332 sd 19179.6 Diary-level Variables next income date Description The next date on which income is expected to be received, as of the third diary day. Survey Question q19 Details Converted to Stata date format. Back to top 192 Diary-level Variables other assets Description Approximate value of other assets, not including primary home. Survey Question de016 Details This is an SCPC variable merged into this dataset for convenience. Back to top 0 500000 1000000150000020000002500000 N min 1846 0 193 med 20000 mean 143854 max 1.4e+07 sd 545618 Diary-level Variables other debts Description Approximate value of other debts, not including debt on primary hom.e Survey Question de019 Details This is an SCPC variable merged into this dataset for convenience. Back to top 0 100000 N min 1869 0 194 med 7000 200000 mean 30330.5 300000 max 1.8e+06 400000 sd 93674.5 Diary-level Variables payday loan Description Whether the respondent took out a payday loan during the diary period. payday loan No. 0 1,875 1 3 Total 1,878 Survey Question pay615 Coding 0 1 No Yes Back to top 195 % 100 0 100 Diary-level Variables payday loan amount Description The amount of the payday loan taken out by the respondent. Survey Question pay615 a Back to top 196 Diary-level Variables paypref 100plus Description The respondent’s preferred payment method for transactions greater than 100 dollars. Survey Question q160 pm e Coding 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Cash Check Credit card Debit card Prepaid/gift/EBT card Bank account number payment Online banking bill payment Money order Traveler’s check PayPal Account-to-account transfer Mobile phone payment Other payment method Deduction from income Back to top 197 paypref 100plus 1 2 3 4 5 6 7 8 12 13 Total No. 129 122 874 658 25 15 13 33 2 2 1,873 % 7 7 47 35 1 1 1 2 0 0 100 Diary-level Variables paypref 10to25 Description The respondent’s preferred payment method for transactions between 10 and 25 dollars. Survey Question q160 pm b Coding 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Cash Check Credit card Debit card Prepaid/gift/EBT card Bank account number payment Online banking bill payment Money order Traveler’s check PayPal Account-to-account transfer Mobile phone payment Other payment method Deduction from income Back to top 198 paypref 10to25 1 2 3 4 5 6 7 8 12 Total No. 628 24 469 736 19 1 2 2 1 1,882 % 33 1 25 39 1 0 0 0 0 100 Diary-level Variables paypref 25to50 Description The respondent’s preferred payment method for transactions between 25 and 50 dollars. Survey Question q160 pm c Coding 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Cash Check Credit card Debit card Prepaid/gift/EBT card Bank account number payment Online banking bill payment Money order Traveler’s check PayPal Account-to-account transfer Mobile phone payment Other payment method Deduction from income Back to top 199 paypref 25to50 1 2 3 4 5 6 7 8 12 13 Total No. 310 47 609 883 18 1 1 7 2 1 1,879 % 16 3 32 47 1 0 0 0 0 0 100 Diary-level Variables paypref 50to100 Description The respondent’s preferred payment method for transactions between 50 and 100 dollars. Survey Question q160 pm d Coding 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Cash Check Credit card Debit card Prepaid/gift/EBT card Bank account number payment Online banking bill payment Money order Traveler’s check PayPal Account-to-account transfer Mobile phone payment Other payment method Deduction from income Back to top 200 paypref 50to100 1 2 3 4 5 6 7 8 12 13 Total No. 201 71 733 821 21 6 7 18 1 1 1,880 % 11 4 39 44 1 0 0 1 0 0 100 Diary-level Variables paypref b1 Description Preferred bill payment method. paypref b1 1 2 3 4 5 6 7 8 9 12 13 Total Survey Question q115 b Coding 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Cash Check Credit card Debit card Prepaid/gift/EBT card Bank account number payment Online banking bill payment Money order Traveler’s check PayPal Account-to-account transfer Mobile phone payment Other payment method Deduction from income Back to top 201 No. 148 314 237 350 17 206 569 33 1 15 7 1,897 % 8 17 12 18 1 11 30 2 0 1 0 100 Diary-level Variables paypref b1 why Description Reason for preferred bill payment method. paypref b1 why 1 2 3 4 5 6 7 Total Survey Question q116 b Coding 1 2 3 4 5 6 7 Security Accepted lots of places Cost Convenience Budget control Debit/credit rewards Speed Back to top 202 No. 204 130 27 973 161 100 94 1,689 % 12 8 2 58 10 6 6 100 Diary-level Variables paypref b2 Description Fallback bill payment method. paypref b2 1 2 3 4 5 6 7 8 9 12 13 Total Survey Question q117 b Coding 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Cash Check Credit card Debit card Prepaid/gift/EBT card Bank account number payment Online banking bill payment Money order Traveler’s check PayPal Account-to-account transfer Mobile phone payment Other payment method Deduction from income Back to top 203 No. 210 522 307 353 28 192 135 89 1 25 30 1,892 % 11 28 16 19 1 10 7 5 0 1 2 100 Diary-level Variables paypref b2 why Description Reason for fallback bill payment method. paypref b2 why 1 2 3 4 5 6 7 Total Survey Question q118 b Coding 1 2 3 4 5 6 7 Security Accepted lots of places Cost Convenience Budget control Debit/credit rewards Speed Back to top 204 No. 211 286 27 864 138 52 111 1,689 % 12 17 2 51 8 3 7 100 Diary-level Variables paypref lt10 Description The respondent’s preferred payment method for transactions less than 10 dollars. Survey Question p160 pm a Coding 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Cash Check Credit card Debit card Prepaid/gift/EBT card Bank account number payment Online banking bill payment Money order Traveler’s check PayPal Account-to-account transfer Mobile phone payment Other payment method Deduction from income Back to top 205 paypref lt10 1 2 3 4 5 6 8 12 13 Total No. 1,239 8 261 356 13 1 2 1 2 1,883 % 66 0 14 19 1 0 0 0 0 100 Diary-level Variables paypref nb1 Description Preferred non-bill payment method. paypref nb1 1 2 3 4 5 6 7 8 12 13 Total Survey Question q115 a Coding 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Cash Check Credit card Debit card Prepaid/gift/EBT card Bank account number payment Online banking bill payment Money order Traveler’s check PayPal Account-to-account transfer Mobile phone payment Other payment method Deduction from income Back to top 206 No. 418 34 596 800 18 10 3 8 3 7 1,897 % 22 2 31 42 1 1 0 0 0 0 100 Diary-level Variables paypref nb1 why Description Reason for preferred non-bill payment method. paypref nb1 why 1 2 3 4 5 6 7 Total Survey Question q116 a Coding 1 2 3 4 5 6 7 Security Accepted lots of places Cost Convenience Budget control Debit/credit rewards Speed Back to top 207 No. 143 243 21 824 141 190 105 1,667 % 9 15 1 49 8 11 6 100 Diary-level Variables paypref nb2 Description Fallback non-bill payment method. paypref nb2 1 2 3 4 5 6 7 8 9 12 13 Total Survey Question q117 a Coding 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Cash Check Credit card Debit card Prepaid/gift/EBT card Bank account number payment Online banking bill payment Money order Traveler’s check PayPal Account-to-account transfer Mobile phone payment Other payment method Deduction from income Back to top 208 No. 776 248 331 337 56 30 24 55 1 12 21 1,891 % 41 13 18 18 3 2 1 3 0 1 1 100 Diary-level Variables paypref nb2 why Description Reason for fallback non-bill payment method. paypref nb2 why 1 2 3 4 5 6 7 8 9 10 11 Total Survey Question q118 a Coding 1 2 3 4 5 6 7 Security Accepted lots of places Cost Convenience Budget control Debit/credit rewards Speed Back to top 209 No. 776 248 331 337 56 30 24 55 1 12 21 1,891 % 41 13 18 18 3 2 1 3 0 1 1 100 Diary-level Variables paypref web Description Preferred online payment method. paypref web 1 2 3 4 5 6 7 8 12 13 Total Survey Question q115 c Coding 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Cash Check Credit card Debit card Prepaid/gift/EBT card Bank account number payment Online banking bill payment Money order Traveler’s check PayPal Account-to-account transfer Mobile phone payment Other payment method Deduction from income Back to top 210 No. 24 7 983 643 95 22 10 10 7 87 1,888 % 1 0 52 34 5 1 1 1 0 5 100 Diary-level Variables paypref web why Description Reason for preferred online payment method. paypref web why 1 2 3 4 5 6 7 Total Survey Question q116 c Coding 1 2 3 4 5 6 7 Security Accepted lots of places Cost Convenience Budget control Debit/credit rewards Speed Back to top 211 No. 503 145 19 676 81 161 86 1,671 % 30 9 1 40 5 10 5 100 Diary-level Variables race asian Description Respondent reported their race as asian. race asian 0 1 Total Survey Question From UAS My Household Questionnaire. Coding 0 1 No Yes Back to top 212 No. 1,824 77 1,901 % 96 4 100 Diary-level Variables race black Description Respondent reported their race as black. race black 0 1 Total Survey Question From UAS My Household Questionnaire. Coding 0 1 No Yes Back to top 213 No. 1,734 167 1,901 % 91 9 100 Diary-level Variables race other Description Respondent reported their race as something other than white, black, or asian. race other 0 1 Total Survey Question From UAS My Household Questionnaire. Coding 0 1 No Yes Back to top 214 No. 1,711 190 1,901 % 90 10 100 Diary-level Variables race white Description Respondent reported their race as white. race white 0 1 Total Survey Question From UAS My Household Questionnaire. Coding 0 1 No Yes Back to top 215 No. 434 1,467 1,901 % 23 77 100 Diary-level Variables scpc date Description Date on which the SCPC was begun. Variables which are pulled from the SCPC, like homeowner, can be reliably dated to this date. Survey Question start date Details This is an SCPC variable merged into this dataset for convenience. Back to top 216 Diary-level Variables state reside Description State of residence. Note that this variable is not available in the public use dataset. Survey Question statereside Details As reported in My Household Questionnaire. 217 Coding 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 AK AL AZ AR CA CO CT DE FL GA HI ID IL IN IA KS KY LA ME MD MA MI MN MS MO MT NE NV NH NJ NM NY NC ND OH OK OR PA RI SC SD TN TX UT VT VA WA WV WI WY DC PR Back to top 218 Diary-level Variables storedcash amnt Description The dollar amount of cash stored (not on hand) by the respondent. Survey Question Reported in the ”Count your paper cash stored elsewhere” screen on day 0. Details Implied by the number of each bill that the respondent reports having stored elsewhere. Back to top 0 1000 N min 829 0 219 med 120 2000 3000 mean 464.581 max 17000 4000 5000 sd 1175.18 Diary-level Variables storedcash amnt payments Description The amount of stored cash which is kept for payment purposes. Survey Question dcpc pa015 c Back to top 0 N 298 220 1000 min 0 2000 med mean 50 334.309 3000 4000 max 5000 sd 784.587 Diary-level Variables storedcash amnt savings Description The amount of stored cash which is kept for savings purposes. Survey Question dcpc pa015 d Back to top 0 5000 N min 275 0 221 med 0 10000 15000 mean 1503.49 20000 max 200000 25000 sd 14152 Diary-level Variables used fsa Description Whether the respondent used an FSA during the three-day diary period. used fsa No. 0 1,873 1 7 Total 1,880 Survey Question pay614 Coding 0 1 No Yes Back to top 222 % 100 0 100 Diary-level Variables used heloc Description Whether the respondent used a HELOC during the three-day diary period. used heloc No. 0 1,220 Total 1,220 Survey Question pay617 Coding 0 1 No Yes Back to top 223 % 100 100 Diary-level Variables vendor Description The vendor which provided this particular respondent. vendor 1 2 Total Survey Question N/A Details See the ”Survey vendors” section in the introduction to this document for more information about our survey vendors. Coding 1 2 UAS GFK Back to top 224 No. 1,585 316 1,901 % 83 17 100 Diary-level Variables why nocash Description Why the respondent does not have any cash, as reported on diary day 0. why nocash No. 1 85 2 226 3 16 5 26 Total 353 Survey Question q1a Coding 1 2 3 4 5 I just ran out and I need to get more I usually do not carry cash I gave my cash to someone else My cash was stolen or lost Other Back to top 225 % 24 64 5 7 100 Diary-level Variables work disabled Description Respondent is disabled. work disabled 0 1 Total Survey Question q14 Details Note that, while respondents were given the option to type in some ”Other” employment response, all of those that did were easily recategorized. Coding 0 1 No Yes Back to top 226 No. 1,746 152 1,898 % 92 8 100 Diary-level Variables work employed Description Respondent is employed. work employed 0 1 Total Survey Question q14 Details Note that, while respondents were given the option to type in some ”Other” employment response, all of those that did were easily recategorized. Coding 0 1 No Yes Back to top 227 No. 704 1,194 1,898 % 37 63 100 Diary-level Variables work homemaker Description Respondent is a homemaker. work homemaker 0 1 Total Survey Question q14 Details Note that, while respondents were given the option to type in some ”Other” employment response, all of those that did were easily recategorized. Coding 0 1 No Yes Back to top 228 No. 1,765 133 1,898 % 93 7 100 Diary-level Variables work looking Description Respondent is unemployed and looking for work. Survey Question q14 Details Note that, while respondents were given the option to type in some ”Other” employment response, all of those that did were easily recategorized. Coding 0 1 No Yes Back to top 229 work looking 0 1 Total No. 1,794 104 1,898 % 95 5 100 Diary-level Variables work retired Description Respondent is retired. work retired 0 1 Total Survey Question q14 Details Note that, while respondents were given the option to type in some ”Other” employment response, all of those that did were easily recategorized. Coding 0 1 No Yes Back to top 230 No. 1,527 371 1,898 % 80 20 100 Diary-level Variables work self Description Respondent is self-employed. work self 0 1 Total Survey Question q14 Details Note that, while respondents were given the option to type in some ”Other” employment response, all of those that did were easily recategorized. Coding 0 1 No Yes Back to top 231 No. 1,046 111 1,157 % 90 10 100 Diary-level Variables work student Description Respondent is a student. work student 0 1 Total Survey Question q14 Details Note that, while respondents were given the option to type in some ”Other” employment response, all of those that did were easily recategorized. Coding 0 1 No Yes Back to top 232 No. 1,828 70 1,898 % 96 4 100 Diary-level Variables work temp unemployed Description Respondent is temporarily unemployed. work temp unemployed 0 1 Total Survey Question q14 Details Note that, while respondents were given the option to type in some ”Other” employment response, all of those that did were easily recategorized. Coding 0 1 No Yes Back to top 233 No. 1,874 24 1,898 % 99 1 100 Individual-level Variables prim key Description A respondent’s unique identifier. Using a respondent’s prim key, a data user can merge the DCPC with the SCPC or any other UAS survey. Survey Question N/A Details Provided by the survey vendor. Back to top 234
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