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Empirical Economics

Erschienen in:

09.06.2016

Crime and punishment: evidence from dynamic panel data model for North Carolina (2003–2012)

verfasst von: Mojtaba Ghasemi

Erschienen in: Empirical Economics | Ausgabe 2/2017

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Abstract

This paper exploits a dynamic panel data model to analyze the endogeneity of certain deterrent covariates, measurement errors in crime and inertial features of crime, and to check for unobserved heterogeneity in order to extract more precise and reliable estimates of the deterrent effect of law enforcement in North Carolina. It uses panel data on 90 counties of North Carolina over the period 2003–2012. After checking various socioeconomic covariates, among the deterrent variables, likelihood of arrest and conviction always showed deterrent effects on criminal behavior for different kinds of violent and property crimes. Since property crimes have relatively higher inertia than violent crimes, their associated long-run elasticities with respect to significant deterrence variables are greater, which implies that allocating more resources to increasing the likelihood of arrest for property crimes can effectively decrease them in the long run.

Vorheriger Artikel Estimating production functions for the US states: the role of public and human capital

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Titel: Crime and punishment: evidence from dynamic panel data model for North Carolina (2003–2012)
verfasst von: Mojtaba Ghasemi
Publikationsdatum: 09.06.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: Empirical Economics / Ausgabe 2/2017
Print ISSN: 0377-7332
Elektronische ISSN: 1435-8921
DOI: https://doi.org/10.1007/s00181-016-1093-5

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