How Space Channels Wage Convergence: The Case of Russian Cities

Vera Ivanova ()

HSE Working papers from National Research University Higher School of Economics

Abstract: Existing empirical work on the growth of Russian regions mostly covers a short time period and considers only regional-level data, while citylevel spatial data of the postreform era remain largely ignored. Using citylevel geocoded data covering 997 cities and towns from 1996 until 2013, I nd sigma- and betaconvergence across Russian cities in wages. City wages during the period under consideration display signicant and positive spatial autocorrelation. Spatial Durbin models of the Barro regression are estimated using Markov chain Monte Carlo methodology. Estimates of the spatial models for dierent weight matrices indicate that the city wage growth is signicantly aected by wage growth rates in neighboring cities, after conditioning on initial wages.

Keywords: Russian cities; wages; convergence; spatial autocorrelation; spatial econometrics; Markov chain Monte Carlo. (search for similar items in EconPapers)
JEL-codes: O18 R12 (search for similar items in EconPapers)
Pages: 25 pages
Date: 2015
New Economics Papers: this item is included in nep-cis, nep-geo, nep-tra and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Published in WP BRP Series: Economics / EC, December 2015, pages 1-25

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Persistent link: https://EconPapers.repec.org/RePEc:hig:wpaper:120/ec/2015

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