Estimating the economic costs of organized crime by synthetic control methods (Journal of Applied Econometrics 2017)

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Contents

Article

Authors Title Journal Year Edition Pages JEL Codes Keywords
Martin Becker, Stefan Klößner Estimating the economic costs of organized crime by synthetic control methods JAE 2017 7 1367–9 - -

Article information

Program code Data Readme Method(s) & estimation Data type Data used Origin of data used Software used (Version)
- - - Synthetic control method (SCM) - - Apulia, Basilicata, Italy Stata, 14, R, 3.3.2, MATLAB, R2016b, Synth & MSCMT packages

This article is a replication of

Authors Title Journal Year Edition Pages JEL Codes Keywords Replication type Replication result [refer to replication type 1 and 2] Raw data Call into question Authors statement
Paolo Pinotti The Economic Costs of Organised Crime: Evidence from Southern Italy EJ 2015 8 F203–F232 - - 3 - reproduction (new methods) - - - -

References

DOI: 10.1002/jae.2572 IDEAS: - EconPapers: -


When last checked on July 18, 2017, this study was forthcoming in the journal Journal of Applied Econometrics.
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