On the Choice of Control Variables in the Crime Equation
AbstractAlthough control variables are the reason for multiple regression, surprising little attention is given to the process of locating and selecting the controls. If important controls are omitted, estimates can be biased and inconsistent whereas using too many controls can reduce efficiency and mask effects. We advocate a much broader search for controls than is customary, at least in the crime literature, and then the use of the general-to-specific methodology to select the relevant controls. We illustrate this procedure using a fixed effects panel data design evaluating the effect of legalized abortion on crime. Copyright (c) Blackwell Publishing Ltd and the Department of Economics, University of Oxford, 2010.
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Bibliographic InfoArticle provided by Department of Economics, University of Oxford in its journal Oxford Bulletin of Economics and Statistics.
Volume (Year): 72 (2010)
Issue (Month): 5 (October)
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- Michał Brzeziński & Maria Halber, 2012. "Testing the Perturbation Sensitivity of Abortion-Crime Regressions," Contemporary Economics, University of Finance and Management in Warsaw, vol. 6(2), June.
- Ligthart, J.E. & Rider, M. & Wang, R., 2013. "Does the Fiscal Decentralization Promote Public Safety? Evidence from United States," Discussion Paper 2013-021, Tilburg University, Center for Economic Research.
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