NDLI: Measuring changes in the Russian middle class between 1992 and 2008: a nonparametric distributional analysis

Content Provider	Springer Nature Link
Author	Nissav, Zoya Pittau, Maria Grazia
Copyright Year	2015
Abstract	Since the dissolution of the USSR in 1991, Russia is generally acknowledged to be one of the most complicated countries in the world, from a sociological perspective. In particular, the evolution of the Russian middle class is an interesting but highly complex phenomenon. Most works dealing with this issue are based on summary statistics, which do not fully convey all the information on income distribution. In the present paper, we analyze the evolution of the middle class in Russia from 1992 to 2008, by applying a nonparametric tool, the “relative distribution,” to Russian household incomes. The relative density function is a proper density function which compares two distributions observed in different years, in order to describe patterns of differences on the entire income scale. Despite a stable pattern of high inequality, we found that after a period of income convergence characterized by a rise of the middle class, in 1998 Russian households income started to polarize and in 2008 one can observe a very high degree of polarization and a marked decrease in the middle class. This shrinking of the middle class affected particularly incomes below the median. Our results can be related to the social reforms and can be partially explained by the characteristics of the Russian labor market.
Starting Page	503
Ending Page	530
Page Count	28
File Format	PDF
ISSN	03777332
Journal	Empirical Economics
Volume Number	50
Issue Number	2
e-ISSN	14358921
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-02-10
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Income distribution Middle class Relative distribution Russia Transition Econometrics Statistics for Business/Economics/Mathematical Finance/Insurance Economic Theory/Quantitative Economics/Mathematical Methods
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability Social Sciences Economics and Econometrics

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