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Economic Brief April 2016, EB16-04 The Role of Option Value in College Decisions By Jessie Romero and Nicholas Trachter Despite the large and persistent wage premium earned by college graduates, college enrollment and graduation rates remain relatively low, particularly for students from lower-income families. Economic models that highlight the role of risk and option value in higher education decisions can help explain these trends. The pattern of wage differentials across workers with different levels of education has been described as a “race between education and technology.”1 When new technologies increase the demand for skilled workers, their wages initially rise relative to less-skilled workers. But eventually, the wage premium encourages more people to obtain the necessary education, leading to an increase in the supply of skilled workers and a narrowing of the wage gap. As Claudia Goldin and Lawrence Katz of Harvard University have documented, a good example of this education-technology race occurred during the first half of the twentieth century, when new machines, such as typewriters, created greater demand for workers with high school educations. These new clerical jobs paid about twice as much as jobs that required less education, a wage gap that helped spur a dramatic increase in high school graduation rates. However, as the supply of high school graduates increased, the wage premium associated with high school completion fell significantly.2 with a bachelor’s degree or higher earned about 40 percent more than the average worker with only a high school diploma, according to data from the U.S. Bureau of Labor Statistics. In 2015, the average worker with a college education earned more than 80 percent more. (See Figure 1.) During the first decade of that period, the number of people age 18 through 24 who were enrolled in a four-year college increased 22 percent. Even though the college premium continued to increase, enrollment growth slowed down; it Median Weekly Earnings, College Figure 1: Median Weekly Earnings of Workers vs. High With College vs. High SchoolSchool Educations $1,400 $1,400 $1,200 1,200 $1,000 1,000 $800 800 $600 600 $400 400 $200 200 $0 More recently, computers have increased the demand for college-educated workers, and accordingly, there has been an increase in the college premium as well. In 1979, the average worker EB16-04 - Federal Reserve Bank of Richmond 1979 1985 1991 Bachelor’s Degree or Higher 1997 2003 2009 2015 High School Diploma, No College Sources: U.S. Bureau of Labor Statistics, Federal Reserve Economic Data Notes: Earnings are expressed in nominal terms. Data are from workers age 25 and older. Page 1 increased about 16 percent between 1989 and 1999 and just 9 percent between 2000 and 2012, the most recent year for which the National Center for Education Statistics (NCES) has data. Overall, 28.3 percent of people age 18 through 24 were enrolled in a fouryear college and 12.7 percent were enrolled in a twoyear college in 2012. But many college students do not graduate. More than 40 percent of students who enrolled in a fouryear college between 2000 and 2007 failed to earn a degree within six years, according to NCES data. The public two-year college completion rate for the 2010 starting cohort was just 19.5 percent. Combined with the continued increase in the college premium, the slowdown in enrollment and high non-completion rates suggest that the supply of college-educated workers is failing to keep up with the demand—in contrast to the supply of high school graduates in the first half of the twentieth century. Enrollment and completion rates differ significantly by socioeconomic status. Between 1990 and 2013, for example, roughly 80 percent of students from high-income families who completed high school in a given year (including those who earned a general educational development certification, or GED) enrolled in either a two-year or four-year college the following fall, according to the NCES. The NCES defines a high-income family as one in the top 20 percent of the income distribution. But only about 50 percent of students from low-income families— those in the bottom 20 percent of the income distribution—enrolled in postsecondary education in the fall. (See Figure 2.) Not only do fewer students from low-income families enroll in college after high school, they also are less likely than students from high-income families to complete college after they enroll. In 2002, the NCES began surveying a cohort of about 15,000 high school sophomores.3 Follow-up surveys were conducted in 2004, 2006, and 2012. Students were assigned a composite score for socioeconomic status (SES) based on their parents’ education levels, occupations, and income and grouped into low, middle, and high SES. Low-SES students were defined as those in the bottom quartile of scores, middle-SES students were in the middle two quartiles, and highSES students were in the top quartile. By 2012, Enrollment Figure 2: College Enrollment by IncomeCollege of Students’ Families by Income 100 100 80 80 Percent 60 60 40 40 20 20 00 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 Students from High-Income Families All Students Students from Low-Income Families Total Low income High income 2013 2013 Source: National Center for Education Statistics, Digest of Education Statistics 2014, Table 302.30 Notes: Figure depicts the percentage of high school graduates (including GED recipients) who enroll in two-year or four-year college the following fall. High-income families and low-income families are defined as the top and bottom 20 percent of the income distribution. The 2012 enrollment rate for ages 18 through 24 (cited in the text above) is considerably lower than the 2012 enrollment rate for recent high school graduates and GED recipients (depicted in the figure above) because many students graduate or drop out before age 25. Page 2 77 percent of the high-SES students who were enrolled in a four-year college in 2006 had earned a bachelor’s degree or higher. But only 50 percent of the low-SES students attending a four-year college in 2006 had completed their degrees by 2012. One possibility is that low-SES and high-SES students differ in their academic ability, which would affect the likelihood they enroll in or complete college. To study this, the NCES survey also collected information about students’ standardized test scores in high school. Even among students with similar academic achievement, low-SES students were less likely to complete college than high-SES students. For students in the top quartile of mathematics test scores, 41 percent of low-SES students had earned a bachelor’s degree 10 years later, versus 74 percent of highSES students. Modeling Education Decisions Given the large wage premium to earning a bachelor’s degree, why don’t more students choose to enroll, and why do so many fail to graduate? And what explains the disparities between students from low-income and high-income families? The strong correlation between family income and educational attainment has led many researchers to focus on the role of credit constraints in preventing some students from enrolling in or graduating from college. Intuitively, access to credit markets should mitigate some of the advantage that students from higher-income families have in financing college or in financing consumption while attending college. But the evidence on the influence of credit constraints is mixed at best. In a 2011 article, Lance Lochner of the University of Western Ontario and Alexander MongeNaranjo of the St. Louis Fed find that credit constraints increase the importance of family income for college attendance, and that expanding government loan programs can increase human capital investment.4 However, Michael Keane of Oxford University and Kenneth Wolpin of Rice University find in a 2001 article that while the size of parental transfers influences a child’s educational attainment, this does not appear related to the existence of credit constraints. In their model, relaxing borrowing constraints affects students’ decisions about how much to work and how much to consume while in college, but it has little effect on the decision to attend in the first place.5 And in a 2008 article, Ralph Stinebrickner, professor emeritus at Berea College, and Todd Stinebrickner of the University of Western Ontario conclude that while credit constraints likely have a causal effect on some students’ decisions to drop out of college, for most students other factors drive the dropout decision.6 Even under a policy in which all the direct costs of college attendance are removed and loans are available to finance consumption, a substantial number of students still would drop out. In related research, Stinebrickner and Stinebrickner find that many students are overoptimistic about their academic ability and grade performance, and that about 40 percent of the dropout decision can be attributed to what students learn about their ability after they enroll in college.7 This process of learning about self-ability appears to operate differently for students of different socioeconomic backgrounds, as demonstrated in a 2015 working paper by Ali Ozdagli of the Boston Fed and Nicholas Trachter, one of the authors of this Economic Brief.8 In their model, students enroll in college and are endowed with a particular wealth level. The students differ in their ability level, either low or high, and this ability is not observable. Instead, students learn about their ability level by taking exams and earning grades of excellent, pass, or fail. Each time students take an exam, they update their beliefs about their abilities and weigh the expected gains from completing college against the costs of remaining in college. If students believe they have high ability, they expect that upon graduation they will become workers in the high-skill sector, which makes it more profitable to remain in college. If students believe they have low ability, they find it more profitable to drop out of college and join the workforce. Because students do not know their abilities for certain, there is always some risk associated with investing in college. Ozdagli and Trachter demonstrate that students’ initial wealth levels affect their belief threshold for dropping out. Wealthier students are less risk-averse Page 3 and thus more likely to continue investing in the risky asset, that is, to continue attending college. Poorer students are about 27 percent more likely to drop out and also drop out about one year earlier. These results are obtained without introducing any explicit credit constraints into the model, which suggests that policy changes such as increasing access to student loans would be unlikely to affect differences in educational attainment. dropout option accounts for 31 percent of the return to enrolling in a two-year school and the transfer option accounts for 69 percent. At four-year colleges, the dropout option accounts for 87 percent of the average return to enrollment. If students were riskneutral rather than risk-averse, enrollment in twoyear colleges would fall from about 16 percent to 10 percent and enrollment at four-year colleges would increase from 27 percent to about 50 percent. The Value of the Dropout Option In a 2015 article, Trachter studies the enrollment, dropout, and transfer decisions of students attending two-year academic colleges (as opposed to vocational schools) and four-year colleges.9 Using data from the National Longitudinal Study of the High School Class of 1972, Trachter finds that 59 percent of students who enroll in a two-year college drop out and 32 percent transfer to a four-year school prior to graduation. Only 5 percent graduate. The remaining 4 percent transfer to a vocational school. At fouryear colleges, 41 percent of students drop out and 56 percent graduate; very few students transfer to a two-year college or vocational school. Trachter’s results also suggest that two-year and four-year colleges are highly substitutable. When he changes the tuition rates in the model, total enrollment is essentially the same as in the baseline economy, but the distribution of enrollment changes significantly. When two-year colleges become cheaper, a large fraction of students who would have enrolled in a four-year college now enroll in a two-year college, leading to lower dropout rates and higher transfer rates from two-year to four-year colleges. When four-year colleges become cheaper, more students attend four-year colleges, but dropout rates increase. This suggests that students value two-year colleges because they are a cheap and safe way to learn about ability, not because they provide unique academic value in and of themselves. These data suggest that for many students, academic programs at two-year colleges are “stepping stones” to four-year colleges. To test this theory, Trachter develops a model in which individuals must decide whether to join the labor force or pursue postsecondary education. Individuals vary in their initial asset levels and in their ability to acquire human capital at college, but, as in Ozdagli and Trachter (2015), the individuals are unsure of their own abilities. Students with a low initial belief about their ability level join the workforce directly after high school. Students with a medium belief level enroll in a two-year college, and students with a high belief level enroll in a four-year college. Over time, students enrolled in either type of college receive signals about their ability by taking exams and receiving credits, and in each period, they decide whether to drop out, transfer, or continue at their current institution. Trachter finds that because college, particularly a four-year college, is a risky option, the dropout and transfer options are highly valued by students: the The model also implies that the overall welfare effect of academic programs at community colleges might be relatively small. Eliminating these programs has no effect on students who enroll in four-year colleges in the first place. Most students who would have enrolled in two-year colleges simply enroll in four-year colleges with little change in value, and the remaining students join the workforce. Overall, community colleges increase participation in postsecondary education by about 7 percent in Trachter’s model. Conclusion College enrollment and graduation rates appear to be inconsistent with the large and persistent wage premium earned by college graduates on average. One explanation is that credit constraints prevent some students from enrolling in or graduating from college, but the evidence in favor of this explanation is mixed at best. Instead, models that treat college as a risky investment and in which individu- Page 4 als learn about their ability over time could explain enrollment and graduation rates, particularly with respect to disparities between students from lowincome and high-income families. This research also suggests that the option value of dropping out or transferring accounts for a large portion of the value of enrolling in college. Jessie Romero is an economics writer and Nicholas Trachter is an economist in the Research Department of the Federal Reserve Bank of Richmond. Endnotes 1 laudia Goldin and Lawrence F. Katz, The Race Between EducaC tion and Technology, Cambridge, Mass.: Harvard University Press, 2008. 2 S ee Claudia Goldin and Lawrence F. Katz, “Human Capital and Social Capital: The Rise of Secondary Schooling in America, 1910 to 1940,” NBER Working Paper No. 6439, March 1998; Claudia Goldin and Lawrence F. Katz, “The Decline of NonCompeting Groups: Changes in the Premium to Education, 1890 to 1940,” NBER Working Paper No. 5202, August 1995; Claudia Goldin, “America’s Graduation from High School: The Evolution and Spread of Secondary Schooling in the Twentieth Century,” Journal of Economic History, June 1998, vol. 58, no. 2, pp. 345–374. 3 National Center for Education Statistics, “Education Longitudinal Study of 2002.” 4 L ance J. Lochner and Alexander Monge-Naranjo, “The Nature of Credit Constraints and Human Capital,” American Economic Review, October 2011, vol. 101, no. 6, pp. 2487–2529. 5 ichael P. Keane and Kenneth I. Wolpin, “The Effect of Parental M Transfers and Borrowing Constraints on Educational Attainment,” International Economic Review, November 2001, vol. 42, no. 4, pp. 1050–1103. 6 alph Stinebrickner and Todd Stinebrickner, “The Effect of R Credit Constraints on the College Drop-Out Decision: A Direct Approach Using a New Panel Study,” American Economic Review, December 2008, vol. 98, no. 5, pp. 2163–2184. 7 T odd Stinebrickner and Ralph Stinebrickner, “Learning about Academic Ability and the College Dropout Decision,” Journal of Labor Economics, October 2012, vol. 30, no. 4, pp. 707–748. 8 li Ozdagli and Nicholas Trachter, “On the Distribution of A College Dropouts: Wealth and Uninsurable Idiosyncratic Risk,” Federal Reserve Bank of Richmond Working Paper No. 15-15, November 2015. 9 icholas Trachter, “Stepping Stone and Option Value in a N Model of Postsecondary Education,” Quantitative Economics, March 2015, vol. 6, no. 1, pp. 223–256. 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