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

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|articletitle=[http://dx.doi.org/10.1002/jae.2572 Estimating the economic costs of organized crime by synthetic control methods]
 
|articletitle=[http://dx.doi.org/10.1002/jae.2572 Estimating the economic costs of organized crime by synthetic control methods]
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{{forthcoming|date=July 18, 2017|journal name=[[:Category:JAE|Journal of Applied Econometrics]]}}
 

Revision as of 15:51, 30 November 2017

When last checked on November 30, 2017, this study had not yet been included in the RePEc databases.



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: -


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