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Intervention time series analysis of crime rates: The case of sentence reform in Virginia

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  • Vujić, Sunčica
  • Commandeur, Jacques J.F.
  • Koopman, Siem Jan

Abstract

We review the basic concepts of intervention analysis in the context of structural time series models and we apply this methodology to investigate the possible reduction in monthly crime rates reported from January 1984 up to and including December 2010 after Virginia abolished parole and reformed sentencing in January 1995. We find that the change in legislation has significantly reduced the burglary rates and to a lesser extent the murder rates in Virginia. The robustness of our results is investigated with an automatic detection of breaks procedure as well as with analyses of quarterly rather than monthly data.

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  • Vujić, Sunčica & Commandeur, Jacques J.F. & Koopman, Siem Jan, 2016. "Intervention time series analysis of crime rates: The case of sentence reform in Virginia," Economic Modelling, Elsevier, vol. 57(C), pages 311-323.
    • Handle: RePEc:eee:ecmode:v:57:y:2016:i:c:p:311-323
    DOI: 10.1016/j.econmod.2016.02.017
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    1. Atkinson, A. C. & Koopman, S. J. & Shephard, N., 1997. "Detecting shocks: Outliers and breaks in time series," Journal of Econometrics, Elsevier, vol. 80(2), pages 387-422, October.
    2. Harvey, Andrew C & Fernandes, C, 1989. "Time Series Models for Count or Qualitative Observations," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(4), pages 407-417, October.
    3. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    4. Commandeur, Jacques J.F. & Koopman, Siem Jan, 2007. "An Introduction to State Space Time Series Analysis," OUP Catalogue, Oxford University Press, number 9780199228874.
    5. Funk, Patricia & Kugler, Peter, 2003. "Dynamic interactions between crimes," Economics Letters, Elsevier, vol. 79(3), pages 291-298, June.
    6. John M. Nunley & Richard Alan Seals Jr. & Joachim Zietz, 2011. "The Impact of Macroeconomic Conditions on Property Crime," Auburn Economics Working Paper Series auwp2011-06, Department of Economics, Auburn University.
    7. Nunley, John M. & Seals, Richard Alan & Zietz, Joachim, 2011. "Demographic change, macroeconomic conditions, and the murder rate: The case of the United States, 1934–2006," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(6), pages 942-948.
    8. Grogger, Jeffrey, 1991. "Certainty vs. Severity of Punishment," Economic Inquiry, Western Economic Association International, vol. 29(2), pages 297-309, April.
    9. Donald W. K. Andrews, 2003. "Tests for Parameter Instability and Structural Change with Unknown Change Point: A Corrigendum," Econometrica, Econometric Society, vol. 71(1), pages 395-397, January.
    10. George Saridakis, 2004. "Violent Crime in the United States of America: A Time-Series Analysis Between 1960–2000," European Journal of Law and Economics, Springer, vol. 18(2), pages 203-221, September.
    11. Halicioglu, Ferda & Andrés, Antonio R. & Yamamura, Eiji, 2012. "Modeling crime in Japan," Economic Modelling, Elsevier, vol. 29(5), pages 1640-1645.
    12. Harvey, Andrew C & Fernandes, C, 1989. "Time Series Models for Count or Qualitative Observations: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(4), pages 422-422, October.
    13. Russell Smyth & Paresh Kumar Narayan, 2006. "Multiple Regime Shifts in Concurring and Dissenting Opinions on the U.S. Supreme Court," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 3(1), pages 79-98, March.
    14. Junsoo Lee & Mark C. Strazicich, 2003. "Minimum Lagrange Multiplier Unit Root Test with Two Structural Breaks," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1082-1089, November.
    15. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    16. Siem Jan Koopman & Marius Ooms & André Lucas & Kees van Montfort & Victor Van Der Geest, 2008. "Estimating systematic continuous‐time trends in recidivism using a non‐Gaussian panel data model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 62(1), pages 104-130, February.
    17. Cheng, Zhiming & Smyth, Russell, 2015. "Crime victimization, neighborhood safety and happiness in China," Economic Modelling, Elsevier, vol. 51(C), pages 424-435.
    18. Levitt, Steven D, 1997. "Using Electoral Cycles in Police Hiring to Estimate the Effect of Police on Crime," American Economic Review, American Economic Association, vol. 87(3), pages 270-290, June.
    19. Paresh Kumar Narayan & Stephan Popp, 2013. "Size and power properties of structural break unit root tests," Applied Economics, Taylor & Francis Journals, vol. 45(6), pages 721-728, February.
    20. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    21. Jon Nelson, 2000. "Consumer Bankruptcies and the Bankruptcy Reform Act: A Time-Series Intervention Analysis, 1960–1997," Journal of Financial Services Research, Springer;Western Finance Association, vol. 17(2), pages 181-200, August.
    22. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    23. Patricia Funk & Peter Kugler, 2003. "Identifying Efficient Crime‐Combating Policies by VAR Models: The Example of Switzerland," Contemporary Economic Policy, Western Economic Association International, vol. 21(4), pages 525-538, October.
    24. Kessler, Daniel P & Levitt, Steven D, 1999. "Using Sentence Enhancements to Distinguish between Deterrence and Incapacitation," Journal of Law and Economics, University of Chicago Press, vol. 42(1), pages 343-363, April.
    25. Caporale, Tony & Grier, Kevin, 2005. "How Smart Is my Dummy? Time Series Tests for the Influence of Politics," Political Analysis, Cambridge University Press, vol. 13(1), pages 77-94, January.
    26. Robin L. Lumsdaine & David H. Papell, 1997. "Multiple Trend Breaks And The Unit-Root Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 212-218, May.
    27. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    28. Corman, Hope & Joyce, Theodore & Lovitch, Norman, 1987. "Crime, Deterrence and the Business Cycle in New York City: A VAR Approach," The Review of Economics and Statistics, MIT Press, vol. 69(4), pages 695-700, November.
    29. Șerban Georgescu, 2012. "Japan," Conjunctura economiei mondiale / World Economic Studies, Institute for World Economy, Romanian Academy.
    30. Vujić Sunčica & Koopman Siem Jan & Commandeur J.F., 2012. "Economic Trends and Cycles in Crime: A Study for England and Wales," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(6), pages 652-677, December.
    31. Robert Witt & Ann Dryden Witte, 1998. "Crime, Imprisonment, and Female Labor Force Participation: A Time-Series Approach," NBER Working Papers 6786, National Bureau of Economic Research, Inc.
    32. Harvey, Andrew C & Koopman, Siem Jan, 1992. "Diagnostic Checking of Unobserved-Components Time Series Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 377-389, October.
    33. Ehrlich, Isaac, 1973. "Participation in Illegitimate Activities: A Theoretical and Empirical Investigation," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 521-565, May-June.
    34. Shiu-Sheng Chen & Chun-Chieh Wang, 2014. "Do Politics Cause Regime Shifts In Monetary Policy?," Contemporary Economic Policy, Western Economic Association International, vol. 32(2), pages 492-502, April.
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