John Eric Humphries, Aurelie Ouss, Megan Stevenson, Kamelia Stavreva, and Winnie van Dijk

Noncarceral conviction is a common outcome of criminal court cases: for every individual incarcerated, there are approximately three who are recently convicted but not sentenced to prison or jail. We develop an empirical framework for studying the consequences of noncarceral conviction by extending the binary-treatment judge IV framework to settings with multiple treatments. We outline assumptions under which widely-used 2SLS regressions recover margin-specific treatment effects, relate these assumptions to models of judge decision-making, and derive an expression that provides intuition about the direction and magnitude of asymptotic bias when they are not met. Under the identifying assumptions, we find that noncarceral conviction (relative to dismissal) leads to a large and long-lasting increase in recidivism for felony defendants in Virginia. In contrast, incarceration relative to noncarceral conviction leads to a short-run reduction in recidivism, consistent with incapacitation. While the identifying assumptions include a strong restriction on judge decision-making, we argue that any bias resulting from its failure is unlikely to change our qualitative conclusions. Lastly, we introduce an alternative empirical strategy, and find that it yields similar estimates. Collectively, these results suggest that noncarceral felony conviction is an important and potentially overlooked driver of recidivism.

[Condtionally accepted at the Quarterly Journal of Economics]

Robert Collinson, John Eric Humphries, Nicholas Mader, Davin Reed, Daniel Tannenbaum, Winnie van Dijk

More than two million U.S. households have an eviction case filed against them each year. Policymakers 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 prior to 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 impacts for female and Black tenants. In the longer-run, eviction increases indebtedness and reduces credit scores.

[Forthcoming at the Quarterly Journal of Economics]