Estimating the economic costs of organized crime by synthetic control methods

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《Estimating the economic costs of organized crime by synthetic control methods》

此片短文发表在2017年《Journal of Applied Econometrics》上。作者使用Synthetic Control重新分析了Pinotti (2015)的一篇关于有组织犯罪对南部意大利人均GDP的影响。 在此篇短文中，作者使用Stata， MATLAB，以及R的两个不同的package重新模拟了南部意大利几个地区的人均GDP。 这篇文章对当今所有的Synthetic Control的编程分析工具进行一个评估。 希望对你们的Synthetic control的研究有用。

简介:

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.

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关键词：Estimating Synthetic Organized Economic Methods economic control methods

Estimating the economic costs of organized crime by synthetic control methods.pdf

请问有这篇论文的stata、matlab……程序吗