Crime and the Labor Market in a Search Model with Pairwise-Efficient Separations

Bryan Engelhardt, Guillaume Rocheteau and Peter Rupert ()

University of California at Santa Barbara, Economics Working Paper Series from Department of Economics, UC Santa Barbara

Abstract: This paper extends the Pissarides (2000) model of the labor market to include crime and punishment à la Becker (1968). All workers, irrespective of their labor force status can commit crimes and the employment contract is determined optimally. The model is used to study, analytically and quantitatively, the effects of various labor market and crime policies. For instance, a more generous unemployment insurance system reduces the crime rate of the unemployed but its effect on the crime rate of the employed depends on job duration and jail sentences. When the model is calibrated to U.S. data, the overall effect on crime is positive but quantitatively small. Wage subsidies reduce unemployment and crime rates of employed and unemployed workers, and improve society's welfare. Hiring subsidies reduce unemployment but they can raise the crime rate of employed workers. Crime policies (police technology and jail sentences) affect crime rates significantly but have only negligible effects on the labor market.

Keywords: crime; unemployment; search; matching (search for similar items in EconPapers)
Date: 2007-08-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.escholarship.org/uc/item/72r6g75d.pdf;origin=repeccitec (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cdl:ucsbec:qt72r6g75d

Access Statistics for this paper

More papers in University of California at Santa Barbara, Economics Working Paper Series from Department of Economics, UC Santa Barbara Contact information at EDIRC.
Bibliographic data for series maintained by Lisa Schiff ().