Eine panelökonometrische Evaluation des deutschen Strafverfolgungssystems
According to the economic theory of crime, a rise in expected punishment - i.e. the product of probability and severity of punishment - results in a reduction of crime due to deterrence. What appears to be a simple and straightforward hypothesis turns out to be a demanding task for empirical examination because "crime" is composed of many different offence categories and expected punishment is influenced by the actions and decisions of different institutions such as police, public prosecutor's office and the courts, and, thus, varies with respect to clearance and conviction rate as well as decisions regarding form (fine, probation, imprisonment) and size (length of prison sentence and size of fine) of punishment. Moreover, it makes a difference whether offenders are subject to general of juvenile criminal law. Usually, empirical analyses of crime/deterrence take siumultaneous account of only a fraction of the items detailed above. In order to overcome this shortcoming the author has established a unique database combining information from different sources of official judicial statistics covering the German states for the period 1977-2001. Building on this database a comprehensive system of criminal prosecution indicators is derived and subsequently related to the incidence of six major offence categories using panel-econometrics. Revealing many negative significant effects for clearance and conviction rates but mostly insignificant coefficients for indicators of form and size of punishment the estimation results suggest that deterrence is mainly exerted at the initial levels of the criminal prosecution process. Finally, the econometric estimates are used in order to assess cost reductions for crime victims from increases in the severity of criminal prosecution. Thus, intensifying criminal prosecution permanently by 10 percent would reduce victims' costs by at least €250 million p.a.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 226 (2006)
Issue (Month): 6 (November)
|Contact details of provider:|| Postal: |
Phone: +49 (0)641 99 22 001
Fax: +49 (0)641 99 22 009
Web page: http://wiwi.uni-giessen.de/home/oekonometrie/Jahrbuecher/
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Cornwell, Christopher & Trumbull, William N, 1994. "Estimating the Economic Model of Crime with Panel Data," The Review of Economics and Statistics, MIT Press, vol. 76(2), pages 360-66, May.
- Gary S. Becker, 1974.
"Crime and Punishment: An Economic Approach,"
in: Essays in the Economics of Crime and Punishment, pages 1-54
National Bureau of Economic Research, Inc.
- Steven D. Levitt, 1995.
"Using Electoral Cycles in Police Hiring to Estimate the Effect of Policeon Crime,"
NBER Working Papers
4991, National Bureau of Economic Research, Inc.
- 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 270-90, June.
- Douglas Staiger & James H. Stock, 1997.
"Instrumental Variables Regression with Weak Instruments,"
Econometric Society, vol. 65(3), pages 557-586, May.
- Douglas Staiger & James H. Stock, 1994. "Instrumental Variables Regression with Weak Instruments," NBER Technical Working Papers 0151, National Bureau of Economic Research, Inc.
- Entorf, Horst & Spengler, Hannes, 1998.
"Socio-economic and demographic factors of crime in Germany: evidence from panel data of the German states,"
ZEW Discussion Papers
98-16, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
- Entorf, Horst & Spengler, Hannes, 2000. "Socioeconomic and demographic factors of crime in Germany: Evidence from panel data of the German states," International Review of Law and Economics, Elsevier, vol. 20(1), pages 75-106, March.
- Griliches, Zvi & Hausman, Jerry A., 1986.
"Errors in variables in panel data,"
Journal of Econometrics,
Elsevier, vol. 31(1), pages 93-118, February.
- Spengler, Hannes, 2005. "Eine panelökonometrische Überprüfung der ökonomischen Theorie der Kriminalität mit deutschen Bundesländerdaten," Darmstadt Discussion Papers in Economics 36801, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute of Economics (VWL).
- Ehrlich, Isaac, 1973. "Participation in Illegitimate Activities: A Theoretical and Empirical Investigation," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 521-65, May-June.
- Pasaran, M.H. & Im, K.S. & Shin, Y., 1995.
"Testing for Unit Roots in Heterogeneous Panels,"
Cambridge Working Papers in Economics
9526, Faculty of Economics, University of Cambridge.
- Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-26, November.
- repec:att:wimass:9220 is not listed on IDEAS
- Steven D. Levitt, 1997.
"Juvenile Crime and Punishment,"
NBER Working Papers
6191, National Bureau of Economic Research, Inc.
- Newey, Whitney K & West, Kenneth D, 1994.
"Automatic Lag Selection in Covariance Matrix Estimation,"
Review of Economic Studies,
Wiley Blackwell, vol. 61(4), pages 631-53, October.
- Kenneth D. West & Whitney K. Newey, 1995. "Automatic Lag Selection in Covariance Matrix Estimation," NBER Technical Working Papers 0144, National Bureau of Economic Research, Inc.
- Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
When requesting a correction, please mention this item's handle: RePEc:jns:jbstat:v:226:y:2006:i:6:p:687-714. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Peter Winker)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.