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Alexander S. Belenky.
Aleskerov F. T., Demin S. S., Shvydun S.
SN Computer Science. 2020. Vol. 1. No. 68. P. 1-9.
In bk.: Network Algorithms, Data Mining, and Applications. NET, Moscow, Russia, May 2018. Springer, 2020. P. 49-70.
Piontkovski D., La Scala R., Tiwari S.
arxiv.org. math. Cornell University, 2019
Topic: Are some dictators more attractive to foreign investors?
Since political uncertainty is greater in dictatorship than in democracy, we test the hypothesis that foreign investors scrutinize public information on dictator to assess this risk. In particular, we assume they use five suitable dictators’ characteristics: age, political experience, education level, education in economics, and prior experience in business. We perform fixed effects estimations to explain FDI inflows on an unbalanced panel of 100 dictatorial countries from 1973 to 2008. We find that educated dictators are more attractive to foreign investors. We obtain strong evidence that greater educational attainment of the leader favors FDI. We also find evidence that education in economics of the leader enhances FDI. By contrast, age, political experience, and prior experience in business have no relationship with FDI. Our results are robust to several tests and checks, including the comparison with democracies.
the joint seminar of Higher School of Economics on political economy, International Center for the Study of Institutions and Development (ICSID) and NES Center for the Study of Diversity and Social Interaction (NES CSDSI) was held on May 16.
Moderators: Alexei Zakharov (HSE), Konstantin Sonin (HSE, The University of Chicago Harris School of Public Policy)