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REAL ESTATE RESEARCH

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July 1, 2015

REAL ESTATE RESEARCH
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Real Estate Research provided
analysis of topical research and
current issues in the fields of housing
and real estate economics. Authors
for the blog included the Atlanta Fed's
Jessica Dill, Kristopher Gerardi, Carl
Hudson, and analysts, as well as the

Are Millennials Responsible for the Decline in First-Time
Home Purchases? Part 2

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RECENT POSTS

Recall that, in our last post, we investigated the claim that millennials were to
blame for the decline in first-time home purchases. Our data analysis confirmed
that home purchases by first-time buyers have indeed plummeted since the

Assessing the Size and Spread of
Vulnerable Renter Households in

crisis. We did not, however, find evidence that millennials were driving this
decline. We found that, if anything, first-time homebuyers have become younger

the Southeast
What's Being Done to Help Renters

In December 2020, content from Real
Estate Research became part of

since the crisis, not older. By contrast, location appeared to be a much stronger
predictor of declines in first-time buying than age.

during the Pandemic?
An Update on Forbearance Trends

Policy Hub. Future articles will be
released in Policy Hub: Macroblog.

Notwithstanding, many commentators still believe that millennials are behind

Examining the Effects of COVID-19
on the Southeast Housing Market

Disclaimer

sluggish sales. In this post, we take a closer look at the timing of first-time home
purchases and the credit trends of first-time homebuyers with an eye towards the

Southeast Housing Market and
COVID-19

changing composition of homebuyers. We use the same credit bureau data set
that we used in the previous post (take a look for a description of the data and

Update on Lot Availability and
Construction Lending

our definition of first-time homebuyer). Using this data, we dig a bit deeper into
two theories that are often cited for why millennial homebuyers are not buying as

Tax Reform's Effect on Low-Income
Housing

many homes as in the past. We first analyze whether millennials delayed the
purchase of their first home in response to the crisis. Then we investigate what

Housing Headwinds
Where Is the Housing Sector

role, if any, credit tightening has played.

Headed?
Did Harvey Influence the Housing

In short, we can't confirm any delay in the timing of home purchases. What we
do find is that the distribution of first-time home purchases changed after the

Market?
CATEGORIES

crisis. First-time home purchases by younger buyers peak earlier and persist at
an elevated level over a longer period of time than before. We also find, contrary

Affordable housing goals

to the popular theory that credit became too tight for millennials to buy homes,
that mortgage credit actually became tighter for older first-time buyers than for

Credit conditions
Expansion of mortgage credit

younger first-time buyers. Taken together, we think these data observations help
to explain why the median age of the first-time buyer shifted downwards (instead

Federal Housing Authority
Financial crisis

of upwards) after the housing downturn.

Foreclosure contagion
Foreclosure laws

Timing

Governmentsponsored enterprises
GSE

To examine how the housing downturn affected the timing of purchases by young
first-time homebuyers, we separated this group out by birth year and examined

Homebuyer tax credit
Homeownership

the number of home purchases from 2000 to 2014. We looked at millennial
homebuyers born in 1983 and 1985 and compared them to Gen X homebuyers

House price indexes
Household formations

born in 1975 and 1977.

Housing boom
Housing crisis

Chart 1 shows the number of first-time home purchases for each year, with each
line representing a different birth year. The time series for the older birth years

Housing demand
Housing prices

peaks between the ages of 27 and 29 while the time series for the younger birth
years peaks between the ages of 24 and 25. For Gen Xers who came of age

Income segregation
Individual Development Account

before the crash, their peak appears to be the culmination of a steep increase in
purchases and an almost equally steep decline resulting in a curve that looks

Loan modifications
Monetary policy

roughly like an inverted V. For the millennial birth years, who came of age after
the real estate crash, the peak in first-time purchases occurs earlier and the

Mortgage crisis
Mortgage default

decline of the curve is much more gradual. The change in the distribution of
purchases after the crash suggests that the younger first-time home buyers are

Mortgage interest tax deduction
Mortgage supply

still purchasing homes at relatively high rates, but purchases are spread out over
a wider time period.

Multifamily housing
Negative equity

Boston Fed's Christopher Foote and
Paul Willen.

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Positive demand shock
Positive externalities
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Supply elasticity
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Upward mobility
Urban growth

The distribution of millennial first-time homebuyers has clearly shifted. Not only
has the distribution of first-time homebuyers become younger over time (refer to
previous post) but first-time home buying among the most recent birth years is
peaking at an earlier age. Why might this be? We think a closer look at credit
trends can shed some light on this question.
Credit scores
In Chart 2, we examine the number of first-time home purchases and median
credit scores of first-time home purchasers by age bracket. The two age brackets
are adults under 35 years old and adults between the ages of 35 and 48. By
grouping first-time home purchases into age brackets, we are able to examine
whether credit is tighter for younger borrowers than for older borrowers using the
median Equifax risk score as a proxy for credit tightness.1

From 2001 to 2014, median FICO scores increased by 5.0 percent for the
younger group and 5.1 percent for the older group. In general, the median credit
scores of both groups appear to behave similarly, except during the years when
subprime lending prevailed. The median credit scores for both younger and older
buyers shifted down between 2003 and 2006, signaling that there were more
purchases by higher-risk buyers. With that said, the decline in the median credit
score was more pronounced for older buyers (down 4.1 percent, from 689 in
2003 to 661 in 2006) than for younger buyers (down just 1.6 percent, from 693 in
2003 to 682 in 2006). Since the crisis, the gap between the median credit scores
of younger and older buyers has closed (in other words, credit has become
tighter for older buyers), which may explain why first-time home purchases have
fallen faster for older buyers than it has for younger buyers. Indeed, between
2001 and 2014, first-time home purchases fell by 36 percent for younger
homebuyers and by 54 percent for older buyers.
The table and Charts 3 and 4, below, delve deeper into the credit trends of
younger and older first-time homebuyers, showing home purchases by credit
bracket, year, and age. We determined credit brackets by taking the quartiles of
every individual with a credit record in the time period. As the charts show,
purchases by those with the lowest credit scores, marked in blue, have
plummeted steeply. Credit scores in the middle, marked in green and orange, fell
sharply, too, but particularly among older buyers. Older first-time homebuyers
with moderate credit scores were much less likely to buy homes after than
before the crisis, falling by 50 to 60 percent. Purchases by those with stellar

credit, marked in purple, were barely affected by the crisis. Perhaps a more
interesting observation is that young homebuyers in the highest credit bracket
were the one subgroup to increase their purchases during and after the
recession. First-time purchases by this group of young buyers actually rose by
25 percent.

We believe this collection of charts demonstrates in more detail that credit
became tighter for older homebuyers during the crisis—and also that an uptick in
home purchases by the most creditworthy millennials has buoyed purchases for
that age bracket.
The Federal Reserve Bank of New York Consumer Credit Panel/Equifax data is
an unusual data set in that it allows us to compare first-time homebuyers without
first conditioning by age. By comparing older and younger first-time homebuyers,
we have been able to examine the claim that millennial homebuyers are behind
the stagnation in home sales. In addition to our earlier findings that first-time
buyers have become younger, not older, since the crisis, we find that the
distribution of first-time home purchases has changed since the housing
downturn. Specifically, first-time purchases by younger buyers tend to peak at an
earlier age and persist at an elevated level over a longer period of time. This is in
contrast to the trend before the downturn, when first-time purchases by younger
buyers peaked at an older age and dropped off precipitously after peaking.
Moreover, the data reveal that, while younger and older first-time buyers have
similar credit trends when tracked as the median credit score, credit may have
loosened more for older first-time buyers than younger first-time homebuyers
during the run-up and as a consequence tightened more for older buyers than
younger buyers during the recovery, resulting in a lower number of first-time
purchases by this older group. Despite the fact that many believe tight mortgage
credit, student loan debt burdens, and stagnating wages have made it more
difficult for millennials to buy homes, it appears that credit tightness has actually
weighed more heavily on older first-time homebuyers.
By Elora Raymond, graduate research assistant, Center for Real
Estate Analytics in the Atlanta Fed's research department, and
doctoral student, School of City and Regional Planning at the Georgia
Institute of Technology, and
Jessica Dill, economic policy analysis specialist in the Atlanta Fed's
research department
_______________________________________
1

Examining credit scores over time can be misleading. Credit scores measure a

person's ranking of creditworthiness at a given time. A credit score does not give
an absolute measure of someone's default probability, just where they are
relative to others. So, someone with a 700 credit score in one time period may

have a different default probability than someone in another time period, though
their rank relative to others remains the same. This becomes relevant if the
creditworthiness of the American public as a whole shifts dramatically over time
July 1, 2015 in Credit conditions, Financial crisis | Permalink

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