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Meta Analysis of Empirical Deterrence Studies: an explorative contest

Rupp, Thomas (2009)
Meta Analysis of Empirical Deterrence Studies: an explorative contest.
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Item Type: Report
Type of entry: Primary publication
Title: Meta Analysis of Empirical Deterrence Studies: an explorative contest
Language: English
Date: 14 October 2009
Place of Publication: Darmstadt
Series: Darmstadt Discussion Papers in Economics
Series Volume: 174

A sample of 200 studies empirically analyzing deterrence in some way is evaluated. Various methods of data mining (stepwise regressions, Extreme Bounds Analysis, Bayesian Model Averaging, manual and naive selections) are used to explore different influences of various variables on the results of each study. The preliminary results of these methods are tested against each other in a competition of methodology to evaluate their performance in forecasting and fitting the data and to conclude which methods should be favored in an upcoming extensive meta-analysis. It seems to be the case that restrictive methods (which select fewer variables) are to be preferred when predicting data ex ante, and less parsimonious methods (which select more variables) when data has to be fitted (ex post). In the former case forward stepwise regression or Bayesian Model Selection perform very well, whereas backward stepwise regression and Extreme Bounds Analysis are to be preferred in the latter case.

Uncontrolled Keywords: meta analysis, data mining, deterrence, criminometrics
URN: urn:nbn:de:tuda-tuprints-47538
Additional Information:

JEL classification: C81, K14, K42; Erstellt Juni 2006

Classification DDC: 300 Social sciences > 330 Economics
Divisions: 01 Department of Law and Economics
01 Department of Law and Economics > Volkswirtschaftliche Fachgebiete
Date Deposited: 14 Oct 2009 13:19
Last Modified: 25 Oct 2023 09:30
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/4753
PPN: 37832103X
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