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Estimating the economic costs of organized crime by synthetic control methods

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  • Martin Becker
  • Stefan Klößner

Abstract

The economic costs of organized crime have been estimated for the case of southern Italy by Pinotti (Economic Journal 2015; 125, F203–F232, 2015): using synthetic control methods, he finds that, due to the advent of the Italian Mafia in the regions Apulia and Basilicata, GDP per capita dropped by 16%. Replicating this study in a narrow sense by estimating the same model with the same data, but using different software implementations, we observe minor differences stemming from the different implementations. By identifying the correct implementation, we find that the loss in GDP per capita due to the presence of the Mafia has been slightly overestimated.

Suggested Citation

  • Martin Becker & Stefan Klößner, 2017. "Estimating the economic costs of organized crime by synthetic control methods," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(7), pages 1367-1369, November.
  • Handle: RePEc:wly:japmet:v:32:y:2017:i:7:p:1367-1369
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    File URL: https://doi.org/10.1002/jae.2572
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    1. Klößner, Stefan & Pfeifer, Gregor, 2015. "Synthesizing Cash for Clunkers: Stabilizing the Car Market, Hurting the Environment," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113207, Verein für Socialpolitik / German Economic Association.

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