12 posts on "heterogeneity"
January 12, 2026
Disability in the Labor Market: Earnings
In our previous post we learned that, in general, people with disabilities participate in the labor market at significantly lower rates, and that they are much more likely to be unemployed. Despite these patterns, we found that the labor force participation of workers with disabilities rose noticeably following the pandemic. A relevant question then is how earnings of workers with disabilities compare with workers without disabilities. In this companion post we investigate differences in weekly earnings for workers with and without disabilities. We find that workers with disabilities earn considerably less than workers without disabilities. Additionally, with few exceptions, their earnings have remained roughly constant in real terms since the pre-pandemic period.
Disability in the Labor Market: Employment and Participation
Among people in prime working age (25-54), around 7 percent have a disability of some kind. In this set of companion posts, we will examine how prime-aged workers with disabilities have fared in the labor market compared to the year prior to the pandemic. In this first post, we will show that people with disabilities are far less likely to be employed than people without disabilities, with both lower labor force participation and higher unemployment playing a role. We will also show that although employment rates of people with disabilities are very low, they have risen rapidly during the post-pandemic period, largely because of rising labor force participation. Our results are consistent with an increased prevalence of work from home (WFH) arrangements in the post-COVID period differentially benefiting people with disabilities.
Posted at 7:00 am in Labor Market | Permalink
November 17, 2021
The Role of Educational Attainment in Household Debt and Delinquency Disparities
This post concludes a three-part series exploring the gender, racial, and educational disparities of debt outcomes of college students. In the previous two posts, we examined how debt holding and delinquency behaviors vary among students of different race and gender, breaking up our analyses by level of degree pursued by the student. We found that Black and Hispanic students were less likely than white students to take on credit card debt, auto loans, and mortgage debt, but experienced higher rates of delinquency in each of these debt areas by the age of 30. In contrast, Black students were more likely to take out student debt and both Black and Hispanic students experienced higher rates of student debt delinquency. We found that Asian students broadly followed reverse patterns from Black and Hispanic students by age 30. They were more likely than white students to acquire mortgages and less likely to hold student debt, but their delinquency patterns were in general similar to those of white students. Women were less likely to hold an auto loan or mortgage and more likely to hold student debt by age 30, and in most cases their delinquency outcomes were indistinguishable from males. In this post, we seek to understand mechanisms behind these racial and gender disparities and examine the role of educational attainment in explaining these patterns.
Posted at 6:02 am in Demographics, Education, Equitable Growth, Household Finance, Inequality | Permalink
Unequal Distribution of Delinquencies by Gender, Race, and Education
This post is the second in a three-part series exploring racial, gender, and educational differences in household debt outcomes. In the first post, we examined how the propensity to take out household debt and loan amounts varied among students by race, gender, and education level, finding notable differences across all of these dimensions. Were these disparities in debt behavior by gender, race, and education level associated with differences in financial stress, as captured by delinquencies? This post focuses on this question.
Posted at 6:01 am in Demographics, Education, Equitable Growth, Household Finance, Inequality, Labor Market | Permalink
February 9, 2021
Black and White Differences in the Labor Market Recovery from COVID‑19
The ongoing COVID-19 pandemic and the various measures put in place to contain it caused a rapid deterioration in labor market conditions for many workers and plunged the nation into recession. The unemployment rate increased dramatically during the COVID recession, rising from 3.5 percent in February to 14.8 percent in April, accompanied by an almost three percentage point decline in labor force participation. While the subsequent labor market recovery in the aggregate has exceeded even some of the most optimistic scenarios put forth soon after this dramatic rise, this recovery has been markedly weaker for the Black population. In this post, we document several striking differences in labor market outcomes by race and use Current Population Survey (CPS) data to better understand them.
Posted at 11:00 am in Demographics, Equitable Growth, Human Capital, Inequality, Labor Market, Pandemic, Recession, Unemployment | Permalink
January 12, 2021
Understanding the Racial and Income Gap in COVID‑19: Public Transportation and Home Crowding
This is the second post in a series that aims to understand the gap in COVID-19 intensity by race and income. In our post yesterday, we looked at how comorbidities, uninsurance rates, and health resources may help to explain the race and income gap observed in COVID-19 intensity. We found that a quarter of the income gap and more than a third of the racial gap in case rates are explained by health status and system factors. In this post, we look at two factors related to indoor density—namely the use of public transportation and increased home crowding. Here, we will aim to understand whether these two factors affect overall COVID-19 intensity, whether the income and racial gaps of COVID can be further explained when we additionally include these factors, and whether and to what extent these factors independently account for income and racial gaps in COVID-19 intensity (without controlling for the factors considered in the other posts in this series).
Understanding the Racial and Income Gap in Covid‑19: Health Insurance, Comorbidities, and Medical Facilities
Our previous work documents that low-income and majority-minority areas were considerably more affected by COVID-19, as captured by markedly higher case and death rates. In a four-part series starting with this post, we seek to understand the reasons behind these income and racial disparities. Do disparities in health status translate into disparities in COVID-19 intensity? Does the health system play a role through health insurance and hospital capacity? Can disparities in COVID-19 intensity be explained by high-density, crowded environments? Does social distancing, pollution, or the age composition of the county matter? Does the prevalence of essential service jobs make a difference? This post will focus on the first two questions. The next three posts in this series will focus on the remaining questions. The posts will follow a similar structure. In each post, we will aim to understand whether the factors considered in that post affect overall COVID-19 intensity, whether the racial and income gaps can be further explained when we additionally include the factors in consideration in that post, and whether and to what extent the factors under consideration in that post independently affect racial and income gaps in COVID-19 intensity (without controlling for the factors considered in the other posts in this series).
March 3, 2020
Introduction to Heterogeneity Series II: Labor Market Outcomes
Rajashri Chakrabarti introduces a new Liberty Street Economics series exploring dimensions of heterogeneity in the labor market experience of U.S. workers.
Posted at 7:00 am in Human Capital, Inequality, Labor Market, Regional Analysis, Unemployment | Permalink | Comments (2)
November 13, 2019
Just Released: Racial Disparities in Student Loan Outcomes
A $20 billion rise in student loan balances in the third quarter of this year contributed to a $92 billion increase in total household debt, according to the latest Quarterly Report on Household Debt and Credit from the New York Fed’s Center for Microeconomic Data. This post explores racial disparities in student loan outcomes using information about the borrowers’ locations, grouping zip codes based upon which racial group constitutes the majority of an area’s residents.
October 16, 2019
Optimists and Pessimists in the Housing Market
Haoyang Liu and Christopher Palmer examine how perceptions of past housing prices may shape predictions for the future, and investigate whether these tendencies shape participation in the housing market.
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