Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/66494 
Authors: 
Year of Publication: 
2012
Series/Report no.: 
Schriftenreihe des Promotionsschwerpunkts Globalisierung und Beschäftigung No. 38/2012
Publisher: 
Universität Hohenheim, Stuttgart
Abstract: 
Having shown the important role of the Russian economy in the ex-USSR region by causality tests, we proceed to empirical analysis of growth and performance of the Russian regions. A dynamic panel data approach enabled us to obtain elasticity coefficients on proxies for convergence, physical capital, labour and innovation. After including human capital in the reformulated model we resolve endogeneity and reverse causality by introducing two instrumental variable approaches. Taking advantage of the Unified State Exam data we managed to successfully endogenize human capital by number (and share) of outperforming students and by the education index. The second approach helped to improve causality between instruments and human capital: the dates of first university foundation and distance to Moscow successfully explains human capital variations due to historical and spatial characteristics of a given region.
Subjects: 
growth regressions
regional analysis
human capital
system GMM
instrumental variables
JEL: 
C01
E24
O40
O47
Document Type: 
Working Paper

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