Objectives
This short course aims to introduces Ph.D students with different background to the analysis of organized crime from an economic standpoint. It will present selected research along with the empirical and theoretical methods applied therein. At the end of the course, students will have a preliminary base to to start using powerful tools for empirical and theoretical research.
Content
The course will build up upon students' basic knowledge of econometrics and economic theory. It will focus on causal inference, specifically random assignment and instrumental variables, and on game theory, in particular evolutionary game theory. Emphasis will be placed on intuitions and applications.
References
Books:
As to causal inference, the book that fits best the purpose of this course is:
As to Evolutionary dynamics a classic text is:
Articles:
Random assignment and instrumental variables:
Organized crime and politics
Organized crime and growth
This short course aims to introduces Ph.D students with different background to the analysis of organized crime from an economic standpoint. It will present selected research along with the empirical and theoretical methods applied therein. At the end of the course, students will have a preliminary base to to start using powerful tools for empirical and theoretical research.
Content
The course will build up upon students' basic knowledge of econometrics and economic theory. It will focus on causal inference, specifically random assignment and instrumental variables, and on game theory, in particular evolutionary game theory. Emphasis will be placed on intuitions and applications.
References
Books:
As to causal inference, the book that fits best the purpose of this course is:
- Angrist, J. and J.S. Pischke (2014), Mastering 'Metrics: The Path from Cause to Effect, Princeton University Press.
As to Evolutionary dynamics a classic text is:
- Nowak, M. A. (2006). Evolutionary dynamics. Harvard University Press.
Articles:
Random assignment and instrumental variables:
- Angrist, J. and A. B. Krueger (2001). Instrumental variables and the search for identification: From supply and demand to natural experiments. The journal of Economic Perspectives 15 (4), 69{85.
- Murray, M. P. (2006). The bad, the weak, and the ugly: Avoiding the pitfalls of instrumental variables estimation.
Organized crime and politics
- Acemoglu, Daron, James A Robinson, and Rafael J Santos. 2013. “The Monopoly of Violence: Evidence from Colombia.” Journal of the European Economic Association 11 (S1): 5-44.
- Alesina, A., S. Piccolo, and P. Pinotti (2016). Organized crime, violence, and politics. Technical report, National Bureau of Economic Research.
- De Feo, G. and G. De Luca. Mafia in the ballot box. American Economici Journal: Economicy Policy Vol. 9, No. 3, 2017 (pp. 134-67).
Organized crime and growth
- Pinotti, P. (2015). The economic costs of organised crime: evidence from southern Italy. The Economic Journal 125 (586), F203- F232.
- M. Caglayan, A. Flamini, and B. Jahanshahi 2017. Organized Crime and Technology. http://economia.unipv.it/docs/dipeco/quad/ps/RePEc/pav/demwpp/DEMWP0143.pdf