Методы Анализа Межрегионального Неравенства По Доходам И Их Приложение К России [Methodologies of analyzing inter-regional income inequality and their applications to Russia]
This paper provides an overview of methodologies used to analyze inter-regional income inequality, and a critical survey of empirical studies that deal with Russian regions. It discusses implications of the growth theory regarding dynamics of inter-economy income inequality. Methodologies for empirically analyzing income inequality are classified as the cross-section approach, distribution approach, and time-series approach. Specific methodologies are described within the framework of this classification, touching upon the subject of their applicability domains. The survey of studies on income inequality among Russian regions summarizes 30 papers grouped according to main approaches used for the analyses.
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
18443.
Find related papers by JEL classification: O41 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution O18 - Economic Development, Technological Change, and Growth - - Economic Development - - - Regional, Urban, and Rural Analyses C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General O15 - Economic Development, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration P25 - Economic Systems - - Socialist Systems and Transition Economies - - - Urban, Rural, and Regional Economics R15 - Urban, Rural, and Regional Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods R11 - Urban, Rural, and Regional Economics - - General Regional Economics - - - Analysis of Growth, Development, and Changes
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