LEADER 03489nam 22005895 450 001 9910298471603321 005 20200920081342.0 010 $a3-658-08083-3 024 7 $a10.1007/978-3-658-08083-9 035 $a(CKB)3710000000291451 035 $a(EBL)1967518 035 $a(OCoLC)908087156 035 $a(SSID)ssj0001385783 035 $a(PQKBManifestationID)11994421 035 $a(PQKBTitleCode)TC0001385783 035 $a(PQKBWorkID)11341376 035 $a(PQKB)10861514 035 $a(DE-He213)978-3-658-08083-9 035 $a(MiAaPQ)EBC1967518 035 $a(PPN)183093623 035 $a(EXLCZ)993710000000291451 100 $a20141118d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEconomic Growth and Inequality$b[electronic resource] $eEmpirical Analysis for the Russian Regions /$fby Vadim Kufenko 205 $a1st ed. 2015. 210 1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Gabler,$d2015. 215 $a1 online resource (121 p.) 225 1 $aBestMasters,$x2625-3577 300 $aDescription based upon print version of record. 311 $a3-658-08082-5 320 $aIncludes bibliographical references. 327 $aConvergence, Catching Up and Regional Disparities -- Empirical Analysis of Economic Growth: Cross-Section and Dynamic Panel Data Models -- Human Capital and the Resource Curse -- Income Inequality as a Determinant of Protests. 330 $aVadim Kufenko provides a theoretical and empirical analysis of various aspects of economic growth and income inequality in the Russian regions using different estimation techniques from the cross-section OLS and logistic models to dynamic panel data system GMM. The general period for the data is 1995-2012. Acknowledging the crucial role of human capital, the author models the brain-drain using game theory and shows that the owners of human capital may have monetary as well as institutional motives. He states that the income gap between the regional elite and the population is a robust positive determinant of the risk of protests. Contents Convergence, Catching Up and Regional Disparities Empirical Analysis of Economic Growth: Cross-Section and Dynamic Panel Data Models Human Capital and the Resource Curse Income Inequality as a Determinant of Protests Target Groups Researchers and students in the fields of growth empirics, application of econometric methods and tests in the sphere of growth economics, and in the modern Russian economy Practitioners in these areas The Author Vadim Kufenko is a research assistant at the Department of Economics at University of Hohenheim.  . 410 0$aBestMasters,$x2625-3577 606 $aEconomic theory 606 $aEconomic policy 606 $aEconomic Theory/Quantitative Economics/Mathematical Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/W29000 606 $aEconomic Policy$3https://scigraph.springernature.com/ontologies/product-market-codes/W34010 615 0$aEconomic theory. 615 0$aEconomic policy. 615 14$aEconomic Theory/Quantitative Economics/Mathematical Methods. 615 24$aEconomic Policy. 676 $a330.0947 700 $aKufenko$b Vadim$4aut$4http://id.loc.gov/vocabulary/relators/aut$01062943 906 $aBOOK 912 $a9910298471603321 996 $aEconomic Growth and Inequality$92529304 997 $aUNINA