Compensating Wage Differentials Across Russian Regions

Oshchepkov, Aleksey

doi:10.1007/978-3-642-55203-8_4

Cited by 13 publications

(5 citation statements)

References 48 publications

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“…According to our findings, the amount of human capital of migrants is on average higher than that of natives, which implies that immigration from other regions tend to accelerate economic growth in receiving regions. Consequently, as most interregional migration flows in Russia are oriented from richer northern and eastern regions (richer in monetary terms but 'poorer' in terms of general quality of life, see Oshchepkov, 2015) to relatively poorer western and southern regions -the so-called 'western drift', that was especially strong during 1990s and 2000s (see Heleinaik, 1999 and Kumo, 2017 among others), we can infer that interregional migration contributes to economic convergence between Russian regions.…”

Section: Discussionmentioning

confidence: 94%

Regional Convergence in Russia: Estimating a Neoclassical Growth Model

Lehmann

Oshchepkov

Silvagni³

2020

SSRN Journal

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Section: Discussionmentioning

confidence: 94%

Regional Convergence in Russia: Estimating a Neoclassical Growth Model

Lehmann

Oshchepkov

Silvagni³

2020

SSRN Journal

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“…According to our findings, the amount of human capital of migrants is on average higher than that of natives, which implies that immigration from other regions tends to accelerate economic growth in receiving regions. Consequently, as most interregional migration flows in Russia are oriented from richer northern and eastern regions (richer in monetary terms but poorer in terms of general quality of life, see Oshchepkov, 2015) to relatively poorer western and southern regions -the so-called 'western drift', which was especially strong during 1990s and 2000s (see Heleinaik, 1999 andKumo, 2017 among others), we can infer that interregional migration contributes to economic convergence between Russian regions.…”

Section: Discussionmentioning

confidence: 96%

Regional Convergence in Russia: Estimating A Neoclassical Growth Model

2020

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This paper studies the convergence in per capita gross regional products (GRPs) across Russian regions in the period from 1996 to 2017. We estimate growth equations, which are directly derived from a neoclassical growth model, augmented with human capital and migration. To our knowledge, this is the first paper that explicitly applies a neoclassical model to analyze regional convergence in Russia. We also take into account possible spatial effects and do a series of other robustness checks. Our main estimates establish a convergence rate of around 2% per year. While we fail to find any role of human capital for regional economic growth, we find that interregional migration and the interdependencies of the growth of Russian regions contribute to the economic convergence between them.

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“…(4) The regions of the North Caucasus and southern Siberia, where about 6% of the population lives, constitute another peripheral group with a poor economic base, very low levels of economic development, large ethnic minority populations that are often in conflict, high birth rates, traditionalist and patriarchal values, and clan-based politics. Oshchepkov (2015) finds evidence that wage differentials across regions compensate for differentials in economic and other non-wage amenities. Lehmann et al (2023) demonstrate a convergence from 1996 to 2017 in regional GDPs of approximately 2% per year, reflecting higher growth rates in poorer regions driven by interregional migration more than by human capital.…”

Section: Stratification In the Labor Marketmentioning

confidence: 99%

“…Oshchepkov (2015) finds evidence that wage differentials across regions compensate for differentials in economic and other non‐wage amenities. Lehmann et al.…”

Section: The Labor Marketmentioning

confidence: 99%

Inequality and social stratification in Russia during the Putin regime: From market transition to war on Ukraine

Gerber,

Gimpelson

2024

Sociology Compass

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The collapse of the USSR in late 1991 inspired social science research on levels, patterns, and trends in inequality within Russia, due to theoretical interest in how market transition affects social stratification. The start of the Putin regime in 2000 marked a new era in Russia's post‐Soviet political economic trajectory: in contrast to the 1990s, the economy first took off, then stagnated, while the state rolled back institutions of democracy and civic freedoms. In short, Russia became a consolidated market economy under authoritarian rule. In this context research has continued to produce insights into social stratification. The labor market featured high levels of employment but with downward wage flexibility, modest decreases in earnings inequality, and persistent returns to education, gender wage gaps, and locality‐based differences. Waves of labor migration to Russia, resurgent traditional gender norms, shrinking population, housing inequality, health disparities, and a small contingent of ultra‐rich represent additional noteworthy developments. Although market transition is no longer an intriguing theoretical lens through which to view social stratification in Russia, the topic nonetheless holds broader theoretical interest because inequality became closely intertwined with Russia's political economy, social policies, and geopolitical actions, including those that culminated in Putin's decision to invade Ukraine.

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Compensating Wage Differentials Across Russian Regions

Cited by 13 publications

References 48 publications

Regional Convergence in Russia: Estimating a Neoclassical Growth Model

Regional Convergence in Russia: Estimating a Neoclassical Growth Model

Regional Convergence in Russia: Estimating A Neoclassical Growth Model

Inequality and social stratification in Russia during the Putin regime: From market transition to war on Ukraine

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