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The Effect of Child Support on Selection into Marriage and Fertility

Journal of Labor Economics 2020 38(2), 611-652
This paper studies the expansion of US child support policies from 1977 to 1992 and its consequences for marriage and fertility decisions. I develop a model showing that child support enforces ex ante commitment from men to provide financial support in the event of a child, which (1) increases premarital sex among couples unlikely to marry and (2) reduces the abortion rate by reducing the cost of child-rearing to single moms. Using variation in the rollout relative to the timing of nonmarital pregnancy, I find that child support policies reduced the likelihood of marriage and reduced the abortion rate.

The Geography of Job Tasks

Journal of Labor Economics 2024 42(4), 979-1008
We introduce new measurement tools to understand the sources of earnings differences across space. Based on the natural language employers use in job ads, we develop granular measures of job tasks and of worker specialization. We find that jobs in larger commuting zones involve greater interpersonal interactions and have higher computer software requirements. Between 10% and 50% of task and technology variation between large and small commuting zones exists within occupations. Furthermore, workers in larger markets are more specialized. Tasks, technologies, and worker specialization account for a substantial portion of the market size premium even within occupations.

Eviction and Poverty in American Cities

Quarterly Journal of Economics 2024 139(1), 57-120 open access
More than two million U.S. households have an eviction case filed against them each year. Policy makers at the federal, state, and local levels are increasingly pursuing policies to reduce the number of evictions, citing harm to tenants and high public expenditures related to homelessness. We study the consequences of eviction for tenants using newly linked administrative data from two major urban areas: Cook County (which includes Chicago) and New York City. We document that before housing court, tenants experience declines in earnings and employment and increases in financial distress and hospital visits. These pre trends pose a challenge for disentangling correlation and causation. To address this problem, we use an instrumental variables approach based on cases randomly assigned to judges of varying leniency. We find that an eviction order increases homelessness and hospital visits and reduces earnings, durable goods consumption, and access to credit in the first two years. Effects on housing and labor market outcomes are driven by effects for female and Black tenants. In the longer run, eviction increases indebtedness and reduces credit scores.