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Access to Credit Markets

Paper Session

Friday, Jan. 6, 2023 8:00 AM - 10:00 AM (CST)

New Orleans Marriott, Preservation Hall Studio 4
Hosted By: Society of Government Economists
  • Chair: Wenhua Di, Federal Reserve Bank of Dallas

Effects of Entering the Credit Market in a Recession

Ryan Sandler
,
U.S. Consumer Financial Protection Bureau
Judith Ricks
,
U.S. Consumer Financial Protection Bureau

Abstract

Do consumers who enter the credit market during bad economic conditions fare better or worse in their credit lives? Every year a significant share of the adult population enters the credit market by opening a credit account. This initial demand for credit is unrelated to the business cycle. Rather, it is part of the natural progression into adulthood that requires individuals to take out loans to, e.g., attend college or purchase an automobile. The fact remains that some individuals enter the credit market in good economies and some enter in bad economies. Little is known about how the timing of credit entry affects an individual’s credit profile.

The question is motivated by an extensive literature in labor economics that considers the effects of graduating in a recession on the labor market outcomes of individuals. We consider the credit analog to the labor literature on initial conditions and long-term outcomes, which has received little attention in the household finance literature. Consumers seeking to acquire credit for the first time in a recession may end up with worse credit products with less favorable terms, which may negatively impact their ability to build credit, particularly if they struggle to repay. On the other hand, interest rates are generally low during recessions, and potentially harmful credit products are often more prevalent during boom years prior to a recession, particularly in the years prior to the 2007-2009 recession.

We use detailed administrative data on individual credit tradelines from the CFPB’s Consumer Credit Panel, which allows us to identify precisely when consumers first acquire a credit account, and how their credit lives evolve after that point.

Gender Differences in Bankcard Credit Limit Growth

Nathan Blascak
,
Federal Reserve Bank of Philadelphia
Anna Tranfaglia
,
Federal Reserve Board

Abstract

In this paper, we examine if there are gender differences in the size of credit card limit increases. We use a monthly-level panel data set of approximately 1 million individuals that links sole mortgage applicant information with individual-level credit bureau data, which allows us to observe both credit bureau characteristics, such as credit card limits and number of accounts, and demographic information that is not available on credit reports. After controlling for credit score, income, and demographic characteristics, we find that male borrowers experience larger credit card limit increases relative to female borrowers. We document that men have higher average limit increases overall, and after conditioning on obtaining a new credit card account. However, when considering the absolute size of the limit increases, it is important to note that men also have higher total limits than women, on average, which may partially explain this gender gap in the size of limit changes. When the limit changes are calculated as the percent (change) of an individual's total bankcard limit, men still experience larger limit growth rates than women. Overall, the gender difference in bankcard limit growth is economically larger.

Small Business Credit Demand and Application Costs

Brian H. Witzen
,
U.S. Consumer Financial Protection Bureau

Abstract

In this paper, I study how small business loan demand responds to application cost. Several small business lenders use a process of underwriting applications where the cost of underwriting increases discretely at a given loan size threshold. Below this threshold, underwriting involves mostly reviewing credit history and other information provided by the small business applicant. Above the threshold, the lender uses cash flow underwriting and, thus, the underwriting process is lengthier, costlier, and sometimes more stringent. I use a bunching design to study how the requested loan size responds to this discrete increase in application cost. Using loan-level supervisory data on small business loan applications for several institutions with versions of this underwriting process, I find that applicants bunch below the threshold that triggers cash flow underwriting. The number of applications at the threshold are several times what they would have been in a counterfactual without the cash flow threshold. As a result, small business loan applicants ask for tens of thousands of dollars less in credit in order to locate below the threshold

Why Are Black-Owned Businesses Smaller?

Mee Jung Kim
,
Sejong University
J. David Brown
,
U.S Census Bureau
John S. Earle
,
George Mason University and IZA Institute of Labor Economics
Kyung Min Lee
,
World Bank
Jared Wold
,
George Mason University

Abstract

Using rich owner level data from the Annual Survey of Entrepreneurs, we document the smaller average size of Black-owned firms relative to those owned by Whites and attempt to account for this racial firm size gap. Using an Oaxaca-type decomposition, we find that many characteristics of entrepreneurs are similar by race, while some, such as education, income motivations and industry, imply larger firm size for Black owners, such that their contributions to the gap is negative. Major factors explaining the gap include differences in firm age, number of owners per firm, and finance: black-owned firms tend to be younger, have fewer owners, and have worse financial access. Industry contribution to the gap suggests that smaller Black-owned firms are more present in large firm industry.
We find that the contribution of finance to the unexplained component of the gap is large, while contribution of other characteristics such as demographics, human capital, and owner choices to unexplained gap, is negative.

Discussant(s)
Matthew Darst
,
Federal Reserve Board
Wenhua Di
,
Federal Reserve Bank of Dallas
Daniel Grodzicki
,
Office of the Comptroller of the Currency
Erik Mayer
,
Southern Methodist University
JEL Classifications
  • G5 - Household Finance
  • D1 - Household Behavior and Family Economics