In addition to their direct effects, episodes of financial instability may decrease investor confidence. Measuring the impact of a crisis on investor confidence is complicated by the fact that it is difficult to disentangle the effect of investor confidence from coincident direct effects of the crisis. In order to isolate the effects of financial crises on investor confidence, we study the investment behavior of immigrants in the U.S. Our findings indicate that systemic banking crises have important effects on investor behavior. Immigrants who have experienced a banking crisis in their countries of origin are significantly less likely to have bank accounts in the U.S. This finding is robust to including important individual controls like wealth, education, income, and age. In addition, the effect of crises is robust to controlling for a variety of country of origin characteristics, including measures of financial and economic development and specifications with country of origin fixed effects.
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Credit Access in the United States
July 2025
Working Paper Number:
CES-25-45
We construct new population-level linked administrative data to study households' access to credit in the United States. These data reveal large differences in credit access by race, class, and hometown. By age 25, Black individuals, those who grew up in low-income families, and those who grew up in certain areas (including the Southeast and Appalachia) have significantly lower credit scores than other groups. Consistent with lower scores generating credit constraints, these individuals have smaller balances, more credit inquiries, higher credit card utilization rates, and greater use of alternative higher-cost forms of credit. Tests for alternative definitions of algorithmic bias in credit scores yield results in opposite directions. From a calibration perspective, group-level differences in credit scores understate differences in delinquency: conditional on a given credit score, Black individuals and those from low-income families fall delinquent at relatively higher rates. From a balance perspective, these groups receive lower credit scores even when comparing those with the same future repayment behavior. Addressing both of these biases and expanding credit access to groups with lower credit scores requires addressing group-level differences in delinquency rates. These delinquencies emerge soon after individuals access credit in their early twenties, often due to missed payments on credit cards, student loans, and other bills. Comprehensive measures of individuals' income profiles, income volatility, and observed wealth explain only a small portion of these repayment gaps. In contrast, we find that the large variation in repayment across hometowns mostly reflects the causal effect of childhood exposure to these places. Places that promote upward income mobility also promote repayment and expand credit access even conditional on income, suggesting that common place-level factors may drive behaviors in both credit and labor markets. We discuss suggestive evidence for several mechanisms that drive our results, including the role of social and cultural capital. We conclude that gaps in credit access by race, class, and hometown have roots in childhood environments.
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Immigrant Status, Race, and Institutional Choice in Higher Education
March 1998
Working Paper Number:
CES-98-04
This paper examines the postsecondary enrollment decisions of immigrant students, expanding on previous work by explicitly considering their choices among institution types and by examining differences across generations and racial/ethnic categories. Using data from the National Educational Longitudinal Study (NELS:88), we hypothesize that community colleges may play a more significant role in providing access to higher education for immigrants than for the native-born population. Our results support our hypothesis only among Asian immigrants. First-generation black immigrants have a higher probability of enrolling in private vocational schools, while second-generation Hispanics (and native blacks) have a higher probability of enrolling in both public and private four-year colleges and universities. Survey (1988)
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Who Files for Personal Bankruptcy in the United States?
January 2017
Working Paper Number:
CES-17-54
Who files for bankruptcy in the United States is not well understood. Previous research relied on small samples from national surveys or a small number of states from administrative records. I use over 10 million administrative bankruptcy records linked to the 2000 Decennial Census and the 2001-2009 American Community Surveys to understand who files for personal bankruptcy. Bankruptcy filers are middle income, more likely to be divorced, more likely to be black, more likely to have terminal high school degree or some college, and more likely to be middle-aged. Bankruptcy filers are more likely to be employed than the U.S. as a whole, and they are more likely to be employed 50-52 weeks. The bankruptcy population is aging faster than the U.S. population as a whole. Lastly, using the pseudo-panels I study what happens in the years around bankruptcy. Individuals are likely to get divorced in the years before bankruptcy and then remarry. Income falls before bankruptcy and then rises after bankruptcy.
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Social Influence and the Consumer Bankruptcy Decision
January 2017
Working Paper Number:
CES-17-60
I examine the influence of neighbors on the consumer bankruptcy decision using administrative bankruptcy records linked the 2000 Decennial Census. Two empirical strategies remove unobserved common factors that affect identification. The first strategy uses small geographical areas to isolate neighborhood effects, and the second strategy identifies the effect using past bankruptcy filers who moved states. The findings from
both strategies reinforce each other and confirm the role of social influence on the bankruptcy decision. Having a past bankruptcy filer move into the block from a different state increases the likelihood of filing by 10 percent.
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The Two-Income Trap:
Are Two-Earner Households More Financially Vulnerable?
June 2019
Working Paper Number:
CES-19-19
We test whether two-earner married couples are more likely to file for consumer bankruptcy in the future than similar married couples. Since two-earner households are unable to adjust their income on the extensive margin, they are more vulnerable to income shocks, and thus at risk of bankruptcy in the future. We find that two-earner married couples in 1999 are more likely to file for bankruptcy from 2002-2004 compared to other married couples. Additionally, we present supporting information that suggests that two-earner households have a higher average propensity to consume.
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EXAMINING THE LONG TERM MORTALITY EFFECTS OF EARLY HEALTH SHOCKS
March 2014
Working Paper Number:
CES-14-19
A growing literature in economics and other disciplines has tied exposure to early health shocks, particularly in utero influenza, to reductions in a variety of socioeconomic and health outcomes over the life course. However, no current evidence exists that examines this health shock on mortality because of lack of available data. This paper uses newly released files from the large, representative National Longitudinal Mortality Study to explore the mortality effects of the 1918 influenza pandemic for those in utero. While the results on socioeconomic outcomes mimic those in the literature, showing reductions in completed schooling and income fifty years following influenza exposure, the findings also suggest no effect on overall mortality or by categories of cause-of-death. These results are counter-intuitive in their contrast with the many reported effects on cardiovascular health as well as the literature linking education with later mortality
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Education and Mortality: Evidence for the Silent Generation from Linked Census and Administrative Data
August 2025
Working Paper Number:
CES-25-56
We quantify the effect of education on mortality using a linkage of the full count 1940, 2000, and 2010 US census files and the Numident death records file. Our sample is composed of children aged 0-18 in 1940, observed living with at least one parent, for whom we can construct a rich set of parental and neighborhood characteristics. We estimate effects of educational attainment in 1940 on survival to 2000, as well as the effects of completed education, observed in 2000, on 10-year survival to 2010. The educational gradients in longevity that we estimate are robust to the inclusion of detailed individual, parental, household, neighborhood and county covariates. Given our full population census sample, we also explore rich patterns of heterogeneity and examine the effect of mediators of the education-mortality relationship. The mediators we consider in this study explain more than half of the relationship between education and mortality. We further show that the mechanisms underlying the education-mortality gradient might be different at different margins of educational attainment.
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U.S. Banks' Artificial Intelligence and Small Business Lending: Evidence from the Census Bureau's Annual Business Survey
February 2025
Working Paper Number:
CES-25-07
Utilizing confidential microdata from the Census Bureau's new technology survey (technology module of the Annual Business Survey), we shed light on U.S. banks' use of artificial intelligence (AI) and its effect on their small business lending. We find that the percentage of banks using AI increases from 14% in 2017 to 43% in 2019. Linking banks' AI use to their small business lending, we find that banks with greater AI usage lend significantly more to distant borrowers, about whom they have less soft information. Using an instrumental variable based on banks' proximity to AI vendors, we show that AI's effect is likely causal. In contrast, we do not find similar effects for cloud systems, other types of software, or hardware surveyed by Census, highlighting AI's uniqueness. Moreover, AI's effect on distant lending is more pronounced in poorer areas and areas with less bank presence. Last, we find that banks with greater AI usage experience lower default rates among distant borrowers and charge these borrowers lower interest rates, suggesting that AI helps banks identify creditworthy borrowers at loan origination. Overall, our evidence suggests that AI helps banks reduce information asymmetry with borrowers, thereby enabling them to extend credit over greater distances.
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Taken by Storm: Hurricanes, Migrant Networks, and U.S. Immigration
January 2017
Working Paper Number:
CES-17-50
How readily do potential migrants respond to increased returns to migration? Even if origin areas become less attractive vis-'-vis migration destinations, fixed costs can prevent increased migration. We examine migration responses to hurricanes, which reduce the attractiveness of origin locations. Restricted-access U.S. Census data allows precise migration measures and analysis of more migrant-origin countries. Hurricanes increase U.S. immigration, with the effect increasing in the size of prior migrant stocks. Large migrant networks reduce fixed costs by facilitating legal immigration from
hurricane-affected source countries. Hurricane-induced immigration can be fully accounted for by new legal permanent residents ('green card' holders).
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The Relationship of Personal and Neighborhood Characteristics to Immigrant Fertility
August 2002
Working Paper Number:
CES-02-20
We find that fertility varies by immigrant generation, with significant declines between the first and subsequent generations for groups with large immigrant population. However, we find that personal characteristics--such as educational attainment, marital status, and income levels--are much more important than immigrant generation in understanding fertility outcomes. In fact, generations are not independently important once these personal characteristics are controlled for. We maintain that declining fertility levels among the descendants of Mexican and Central American immigrants are primarily the result of higher educational attainment levels, lower rates of marriage, and lower poverty. For example, a four-year increase in educational attainment decreases children ever born (CEB) by half a child. We conclude that immigrant generation serves as a proxy for changes in other personal characteristics that decrease fertility. Neighborhood characteristics have some bearing on fertility, but the correlations are relatively weak. Among Mexican and Central American immigrants and their descendants, the most consistent predictor of children ever born (CEB) at the neighborhood level is the percentage of Hispanic adults. However, no neighborhood characteristics bear any statistical relationship to current fertility, the measure that emphasizes recent births. This pattern of evidence suggests that the observed relationships between neighborhood characteristics and fertility are based on selection into the neighborhood rather than on neighborhood influences as such.
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