Published March 29, 2025 | Version v1
Journal article Open

The Impact of Incarceration on Employment, Earnings, and Tax Filing

  • 1. Carnegie Mellon University
  • 2. University of Chicago
  • 3. University of California, Berkeley
  • 4. University of British Columbia
  • 5. Brown University
  • 6. University of California, Los Angeles
  • 7. University of Southern California

Description

We study the effect of incarceration on wages, self-employment, and taxes and transfers in North Carolina and Ohio using two quasi-experimental research designs: discontinuities in sentencing guidelines and random assignment to judges. Across both states, incarceration generates short-term drops in economic activity while individuals remain in prison. As a result, a year-long sentence decreases cumulative earnings over five years by 13%. Beyond five years, however, there is no evidence of lower employment, wage earnings, or self-employment in either state, as well as among defendants with no prior incarceration history. These results suggest that upstream factors, such as other types of criminal justice interactions or pre-existing labor market detachment, are more likely to be the cause of low earnings among the previously incarcerated, who we estimate would earn just $5000 per year on average if spared a prison sentence.

Data availability

The replication package for this paper is available at https://doi.org/10.5281/zenodo.14283611. The authors were granted an exemption to publish parts of their data because either access to these data is restricted or the authors do not have the right to republish them. However, the authors included in the package, on top of the codes and the parts of the data that are not subject to the exemption, a simulated or synthetic dataset that allows running the codes. The Journal checked the data and the codes for their ability to generate all tables and figures in the paper and approved online appendices. Whenever the available data allowed, the Journal also checked for their ability to reproduce the results. However, the synthetic/simulated data are not designed to produce the same results.

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Additional details

Identifiers

DOI
10.3982/ECTA22028
Other
oai:uchicago.tind.io:14825

UChicago Information

Division(s)
Harris School of Public Policy Studies, Social Sciences Division
Department(s)
Kenneth C. Griffin Department of Economics, Harris School of Public Policy Studies Research Publications