Abstract
This paper investigates the impact of a marginal change in punishment severity on the incidence of crime. I explore Arkansas’ (AR) milder punishment for theft, which was adopted in 2011 in order to deal with prison overcrowding. The decrease in punishment contributed to growing theft rates in AR, suggesting criminals respond to the reduced crime-specific punishment. The findings also indicate that the likely lower incarceration for theft did not lead to an increase in other types of crime.
Appendix
Effect of punishment severity on crime rates in AR: the DD approach using states obtained from SCM as the control group.
| Variables | Larceny theft | Motor vehicle theft | Aggravated assault |
|---|---|---|---|
| Punishment | 0.0533 | 0.0146 | −0.0321 |
| (0.0180) | (0.0251) | (0.0335) | |
| Property Crime Rate | 0.747 | 0.445 | – |
| (0.0885) | (0.100) | – | |
| Violent Crime Rate | – | – | 0.295 |
| – | – | (0.0570) | |
| Unemployment Rate | −0.0136 | −0.197 | −0.0313 |
| (0.0147) | (0.0730) | (0.0375) | |
| Population | 0.164 | 0.699 | 0.506 |
| (0.0572) | (0.568) | (0.271) | |
| Population per Square Mile | 0.210 | 0.112 | −0.447 |
| (0.0824) | (0.559) | (0.0609) | |
| Male 10–19 | −0.577 | 19.88 | −4.317 |
| (0.950) | (6.967) | (2.886) | |
| Male 20–29 | −0.455 | 0.498 | −6.082 |
| (1.645) | (1.247) | (3.104) | |
| Male 30–39 | 0.695 | 11.28 | 3.137 |
| (2.302) | (4.397) | (2.700) | |
| Male 40–49 | −2.027 | −0.544 | −3.071 |
| (1.779) | (3.973) | (2.452) | |
| Male 50–64 | 2.051 | 5.346 | −0.416 |
| (0.737) | (4.241) | (4.532) | |
| Male over 65 | 0.107 | 5.865 | 3.453 |
| (0.907) | (1.688) | (2.576) | |
| Female 10–19 | 3.611 | −7.170 | −0.169 |
| (1.133) | (5.048) | (2.608) | |
| Female 20–29 | 3.764 | 8.020 | 4.740 |
| (1.990) | (1.934) | (1.914) | |
| Female 30–39 | 0.919 | −7.912 | −2.710 |
| (1.976) | (4.089) | (2.183) | |
| Female 40–49 | 2.084 | 1.932 | 2.795 |
| (2.666) | (4.665) | (3.123) | |
| Female 50–64 | −0.443 | 0.626 | 1.240 |
| (1.133) | (6.413) | (3.606) | |
| Female over 65 | 3.070 | 0.367 | −4.323 |
| (0.701) | (4.363) | (2.409) | |
| Black | −0.104 | 0.359 | −0.00549 |
| (0.110) | (0.237) | (0.111) | |
| White | −0.0346 | −0.687 | −3.048 |
| (0.671) | (2.126) | (0.994) | |
| Constant | −26.41 | −82.94 | 22.29 |
| (8.836) | (27.11) | (12.54) | |
| Observations | 576 | 504 | 648 |
Effect of punishment severity on crime rates in AR: the DD approach using southern states as the control group.
| Variables | Larceny theft | Motor vehicle theft | Aggravated assault |
|---|---|---|---|
| Punishment | 0.0619 | −0.0529 | −0.0999 |
| (0.0266) | (0.0339) | (0.0853) | |
| Property Crime Rate | 0.618 | 0.837 | – |
| (0.0924) | (0.0880) | – | |
| Violent Crime Rate | – | – | 0.627 |
| – | – | (0.0876) | |
| Unemployment Rate | −0.00669 | −0.278 | −0.0824 |
| (0.0252) | (0.0311) | (0.0533) | |
| Population | 0.0760 | 0.202 | 0.620 |
| (0.0411) | (0.0845) | (0.141) | |
| Population per Square Mile | −0.0976 | −0.0736 | 0.118 |
| (0.0541) | (0.0989) | (0.214) | |
| Male 10–19 | 0.830 | −4.497 | −13.14 |
| (2.346) | (3.815) | (9.293) | |
| Male 20–29 | 1.722 | −5.600 | −15.19 |
| (1.139) | (1.615) | (2.809) | |
| Male 30–39 | 0.721 | 4.034 | 3.641 |
| (0.920) | (1.554) | (3.972) | |
| Male 40–49 | −7.291 | −14.94 | −10.70 |
| (1.343) | (3.567) | (7.098) | |
| Male 50–64 | 3.119 | −8.427 | −9.124 |
| (1.430) | (2.349) | (6.602) | |
| Male over 65 | 6.388 | 1.997 | 11.93 |
| (0.736) | (1.500) | (3.097) | |
| Female 10–19 | 0.568 | −0.471 | 1.697 |
| (1.826) | (4.741) | (8.878) | |
| Female 20–29 | 1.689 | −1.205 | 7.744 |
| (0.944) | (1.969) | (4.905) | |
| Female 30–39 | 2.020 | −9.153 | −15.25 |
| (1.454) | (2.935) | (6.612) | |
| Female 40–49 | 9.384 | 11.89 | 1.890 |
| (1.725) | (3.708) | (6.484) | |
| Female 50–64 | −1.137 | 4.899 | 6.236 |
| (1.410) | (1.771) | (5.409) | |
| Female over 65 | −5.092 | −6.185 | −16.90 |
| (0.787) | (1.590) | (2.576) | |
| Black | 0.00129 | −0.472 | −0.231 |
| (0.0529) | (0.0736) | (0.178) | |
| White | 0.327 | −2.345 | −2.584 |
| (0.232) | (0.287) | (0.712) | |
| Constant | −23.48 | 62.10 | 98.94 |
| (7.463) | (23.24) | (49.26) | |
| Observations | 1,008 | 1,008 | 1,008 |
References
Abadie, A., and J. Gardeazabal. 2003. “The Economic Costs of Conflict: A Case Study of the Basque Country,” 93 The American Economic Review 1 113–132.10.1257/000282803321455188Suche in Google Scholar
Abadie, A., A. Diamond, and J. Hainmuller. 2010. Synthetic control methods for comparative case studies: Estimating the effect of California’s tobacco control program. 105 Journal of the American statistical Association 490 493–505.10.1198/jasa.2009.ap08746Suche in Google Scholar
Abadie, A., A. Diamond, and J. Hainmuller. 2015. Comparative Politics and the Synthetic Control Method. 59 American Journal of Political Science 2 495–510.10.1111/ajps.12116Suche in Google Scholar
Adhikari, B., and J. Alm. 2016. “Evaluating the Economic Effects of Flat Tax Reforms Using Synthetic Control Methods,” 83 Southern Economic Journal 2 437–463.10.1002/soej.12152Suche in Google Scholar
Ando, M. 2015. “Dreams of Urbanization: Quantitative Case Studies on the Local Impacts of Nuclear Power Facilities Using the Synthetic Control Method,” 85 Journal of Urban Economics 2015 68–85.10.1016/j.jue.2014.10.005Suche in Google Scholar
Antunes, G., and A. Lee Hunt. 1973-. “The Impact of Certainty and Severity of Punishment on Levels of Crime in American States: An Extended Analysis,” 64 The Journal of Criminal Law and Criminology 4 486–493.10.2307/1142449Suche in Google Scholar
AR Legislature. 2011. Act 570. Retrieved from http://www.arkleg.state.ar.us/assembly/2011/2011R/Acts/Act570.pdf (Dec, 2017)Suche in Google Scholar
Arellano, M. 1987. “PRACTITIONERS’CORNER:Computing Robust Standard Errors for Within‐Groups Estimators,” 49 Oxford Bulletin of Economics and Statistics 4 431–434.10.1111/j.1468-0084.1987.mp49004006.xSuche in Google Scholar
Austin, J., and L.B. Eisen. 2016. HOW MANY AMERICANS are UNNECESSARILY INCARCERATED?. New York: Brennan Center for Justice at New York University School of Law.Suche in Google Scholar
Barone, G., and S. Mocetti. 2014. “Natural Disasters, Growth and Institutions: A Tale of Two Earthquakes,” 84 Journal of Urban Economics 2014 52–66.10.1016/j.jue.2014.09.002Suche in Google Scholar
Becker, G.S. 1968. “Crime and Punishment: An Economic Approach,” 76 The Journal of Political Economy 2 169–217.10.1086/259394Suche in Google Scholar
Bertrand, M., E. Duflo, and S. Mullainathan. 2004. “How Much Should We Trust Differences-In-Differences Estimates?,” 119 The Quarterly Journal of Economics 1 249–275.10.1162/003355304772839588Suche in Google Scholar
Billmeier, A., and T. Nannicini. 2013. “Assessing Economic Liberalization Episodes: A Synthetic Control Approach,” 95 Review of Economics and Statistics 3 983–1001.10.1162/REST_a_00324Suche in Google Scholar
Brosius, J. 2011. Code changes to reduce overcrowding. Retrieved from Arkansas Online: http://www.arkansasonline.com/news/2011/jun/26/code-changes-reduce-overcrowding-20110626/?print (Dec, 2017).Suche in Google Scholar
Cameron, C., J.B. Gelbach, and D.L. Miller. 2008. “Bootstrap-Based Improvements for Inference with Clustered Errors,” 90 The Review of Economics and Statistics 3 414–427.10.1162/rest.90.3.414Suche in Google Scholar
Campos, N.F., F. Coricelli, and L. Moretti. 2014. Economic growth and political integration: estimating the benefits from membership in the European Union using the synthetic counterfactuals method.10.2139/ssrn.2432446Suche in Google Scholar
Carson, A.E. 2014. Prisoners in 2013. Retrieved from U.S. Department of Justice: http://online.wsj.com/public/resources/documents/us_prisons0916.pdf (Feb, 2017).Suche in Google Scholar
Chatterji, P., and Y. Li. 2016. Early Effects of the 2010 Affordable Care Act Medicaid Expansions on Federal Disability Program Participation (No. W22531). National Bureau of Economic Research.10.3386/w22531Suche in Google Scholar
Crifasi, C.K., J.S. Meyers, J.S. Vernick, and D.W. Webster. 2015. “Effects of Changes in Permit-To-Purchase Handgun Laws in Connecticut,” 79 Preventive Medicine 43–49.10.1016/j.ypmed.2015.07.013Suche in Google Scholar
Decker, S.H., and C.W. Kohfeld. 1990. “Certainty, Severity, and the Probability of Crime: A Logistic Analysis,” 19 Policy Studies Journal 1 2–21.10.1111/j.1541-0072.1990.tb00873.xSuche in Google Scholar
Donohue, J.J., A. Aneja, and K.D. Weber. 2017. Right-To-Carry Laws and Violent Crime: A Comprehensive Assessment Using Panel Data and A State-Level Synthetic Controls Analysis (No. W23510). National Bureau of Economic Research.10.3386/w23510Suche in Google Scholar
Doob, A.N., and C.M. Webster. 2003. “Sentence Severity and Crime: Accepting the Null Hypothesis,” 30 Crime and Justice 143–195.10.1086/652230Suche in Google Scholar
Durlauf, S.N., and D.S. Nagin. 2011. “Imprisonment and Crime,” 10 Criminology & Public Policy 1 13–54.10.1111/j.1745-9133.2010.00680.xSuche in Google Scholar
Engel, C. 2016. “A Random Shock Is Not Random Assignment,” 145 Economics Letters 45–47.10.1016/j.econlet.2016.05.022Suche in Google Scholar
Engel, C., and D. Nagin. 2015. “Who Is Afraid of the Stick? Experimentally Testing the Deterrent Effect of Sanction Certainty,” 2 Review of Behavioral Economics 4 405–434.10.1561/105.00000037Suche in Google Scholar
FBI Uniform Crime Report. 2016. Retrieved from https://ucr.fbi.gov/crime-in-theu.s/2016/crime-in-the-u.s.-2016/topic-pages/larceny-theft (Feb, 2017).Suche in Google Scholar
Firpo, S., and V. Possebom. 2016. Synthetic Control Estimator: A Generalized Inference Procedure and Confidence Sets.Suche in Google Scholar
Gobillon, L., and T. Magnac. 2013. “Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls,” 98 Review of Economics and Statistics 3 535–551.10.1162/REST_a_00537Suche in Google Scholar
Hanlon, W.W. 2017. “Temporary Shocks and Persistent Effects in Urban Economies: Evidence from British Cities after the US Civil War,” 99 Review of Economics and Statistics 1 67–79.10.1162/REST_a_00621Suche in Google Scholar
Helland, E., and A. Tabarrok. 2007. “Does Three Strikes Deter? A Nonparametric Estimation,” 42 Journal of Human Resources 2 309–330.10.3368/jhr.XLII.2.309Suche in Google Scholar
Hjalmarsson, R. 2009. “Crime and Expected Punishment: Changes in Perceptions at the Age of Criminal Majority,” 11 American Law and Economics Review 1 209–248.10.1093/aler/ahn016Suche in Google Scholar
Jarrell, S., and R.M. Howsen. 1990. “Transient Crowding and Crime: The More ‘Strangers’ in an Area, the More Crime except for Murder, Assault and Rape,” 49 American Journal of Economics and Sociology 4 483–494.10.1111/j.1536-7150.1990.tb02476.xSuche in Google Scholar
KAIT. 2012. Act 570 means more misdemeanor arrests for local law enforcement. Retrieved from http://www.kait8.com/story/16457501/act-570-means-more-misdemeanor-arrests-for-local-law-enforcement (Dec, 2017).Suche in Google Scholar
Kessler, D., and S.D. Levit. 1999. “Using Sentence Enhancements to Distinguish between Deterrence and Incapacitation,” 42 The Journal of Law and Economics S1 343–364.10.1086/467428Suche in Google Scholar
Kim, I.J., B.L. Branson, D.W. Rasmussen, and T.W. Zuehlke. 1993. “An Economic Analysis of Recidivism among Drug Offenders,” 60 Southern Economic Journal 1 169–183.10.2307/1059941Suche in Google Scholar
Klepper, S., and D. Nagin. 1989. The deterrent effect of perceived certainty and severity of punishment revisited. Klepper, Steven, and Daniel Nagin. “The Deterrent Effect of Perceived Certainty and Severity of Punishment Revisited,” 27 Criminology 4 721–746.10.1111/j.1745-9125.1989.tb01052.xSuche in Google Scholar
Lee, D., and J. McCrary. 2009. The Deterrence Effect of Prison: Dynamic Theory and Evidence. Berkeley Program in Law & Economics, Working Paper Series.10.1108/S0731-905320170000038005Suche in Google Scholar
Liu, S. 2015. “Spillovers from Universities: Evidence from the Land-Grant Program,” 87 Journal of Urban Economics 2015 25–41.10.1016/j.jue.2015.03.001Suche in Google Scholar
Mauer, M., and N. Ghandnoosh. 2014. Fewer Prisoners, Less Crime: A Tale of Three States. Policy Brief, The Sentencing Project.Suche in Google Scholar
Maxwell, S.R., and K.M. Gray. 2000. “Deterrence: Testing the Effects of Perceived Sanction Certainty on Probation Violations,” 70 Sociological Inquiry 2 117–136.10.1111/j.1475-682X.2000.tb00901.xSuche in Google Scholar
May, D. 2014. Have Sentence Enhancements Had a Deterrent Effect on Crime and What are the Social Welfare Implications of These Laws? Clemson University, All Theses, Paper 1991.Suche in Google Scholar
Mendes, S.M., and M.D. McDonald. 2001. “Putting Severity of Punishment Back in the Deterrence Package,” 29 Policy Studies Journal 4 588–610.10.1111/j.1541-0072.2001.tb02112.xSuche in Google Scholar
Millar, L. 2015. Arkansas’s prison population, and related expense, is exploding. Retrieved from Arkansas Times: http://www.arktimes.com/arkansas/arkansass-prison-population-and-related-expense-is-exploding/Content?oid=3973297 (Feb, 2017).Suche in Google Scholar
NUMBEO. 2017. Crime Index for Country. Retrieved from https://www.numbeo.com/crime/rankings_by_country.jsp?title=2017 (Dec, 2017).Suche in Google Scholar
Paternoster, R. 1987. “The Deterrent Effect of the Perceived Certainty and Severity of Punishment: A Review of the Evidence and Issues,” 4 Justice Quarterly 2 173–217.10.1080/07418828700089271Suche in Google Scholar
Peri, G., and V. Yasenov. 2015. The Labor Market Effects of a Refugee Wave: Applying the Synthetic Control Method to the Mariel Boatlift (No. W21801). National Bureau of Economic Research.10.3386/w21801Suche in Google Scholar
Pogarsky, G. 2002. “Pogarsky, Greg. “Identifying “Deterrable” Offenders: Implications for Research on Deterrence,” 19 Justice Quarterly 3 431–452.10.1080/07418820200095301Suche in Google Scholar
Raphael, S. 2006. “The Deterrent Effects of California’s Proposition 8: Weighing the Evidence,” 5 Criminology & Public Policy 3 471–478.10.1111/j.1745-9133.2006.00403.xSuche in Google Scholar
Robinson, P.H., and J.M. Darley. 2004. “Does Criminal Law Deter? A Behavioural Science Investigation,” 25 Oxford Journal of Legal Studies 2 173–205.10.1093/ojls/24.2.173Suche in Google Scholar
The Sentencing Project. 2016. Retrieved from http://www.sentencingproject.org/the-facts/#map?dataset-option=SIR (Feb, 2017).Suche in Google Scholar
Sundt, J., E.J. Salisbury, and M.G. Harmon. 2016. “Is Downsizing Prisons Dangerous?,” 15 Criminology & Public Policy 2 315–341.10.1111/1745-9133.12199Suche in Google Scholar
Tirunillai, S., and G.J. Tellis. 2017 (2017). “Does Offline TV Advertising Affect Online Chatter? Quasi-Experimental Analysis Using Synthetic Control,” 36 Marketing Science 6 862–878.10.1287/mksc.2017.1040Suche in Google Scholar
Trumbull, W.N. 1989. “Estimations of the Economic Model of Crime Using Aggregate and Individual Level Data,” 56 Southern Economic Journal 2 423–439.10.2307/1059220Suche in Google Scholar
Webster, C., A.N. Doob, and F.E. Zimring. 2006. “Proposition 8 and Crime Rates in California: The Case of the Disappearing Deterrent,” 5 Criminology & Public Policy 3 417–448.10.1111/j.1745-9133.2006.00401.xSuche in Google Scholar
Weisberg, R. 2016. “Can We Shrink the Prisons without Growing Crime?,” 15 Criminology & Public Policy 2 367–381.10.1111/1745-9133.12211Suche in Google Scholar
White, H. 1984. Asymptotic Theory for Econometricians. San Diego: Acadamic Press.Suche in Google Scholar
World Prison Brief. 2017. Retrieved from http://www.prisonstudies.org/highest-to-lowest/prison-population-total?field_region_taxonomy_tid=All (Dec, 2017).Suche in Google Scholar
© 2019 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Litigation and the Product Rule: A Rent Seeking Approach
- Emissions Trading Hybrids: The Case of the EU ETS
- Takeover Protection and Firm Value
- Rethinking Apology in Tort Litigation Deficiencies in Comprehensiveness Undermine Remedial Effectiveness
- Law and Literature: Theory and Evidence on Empathy and Guile
- Efficient and Inefficient Sales of Corporate Control: The Case of Going Private
- Punishment Severity and Crime: The Case of Arkansas
- Expanding Shareholders’ Power: An Analysis of Reform Proposals in Malaysia
Artikel in diesem Heft
- Litigation and the Product Rule: A Rent Seeking Approach
- Emissions Trading Hybrids: The Case of the EU ETS
- Takeover Protection and Firm Value
- Rethinking Apology in Tort Litigation Deficiencies in Comprehensiveness Undermine Remedial Effectiveness
- Law and Literature: Theory and Evidence on Empathy and Guile
- Efficient and Inefficient Sales of Corporate Control: The Case of Going Private
- Punishment Severity and Crime: The Case of Arkansas
- Expanding Shareholders’ Power: An Analysis of Reform Proposals in Malaysia