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Title: The regional distribution of unemployment: What do micro-data tell us?
Author: López Bazo, Enrique
Motellón Corral, Elisabet  
Others: Universitat de Barcelona
Universitat Oberta de Catalunya (UOC)
Keywords: regional labour markets
regional unemployment
education
gap decomposition for non-linear models
Issue Date: 1-Jul-2012
Publisher: Papers in Regional Science
Citation: López Bazo, E. & Motellón, E. (2013). The regional distribution of unemployment: What do micro-data tell us?. Papers in Regional Science, 92(2), 383-405. doi: 10.1111/j.1435-5957.2012.00456.x
Project identifier: info:eu-repo/grantAgreement/FP7-SSH2010-2.2-1
info:eu-repo/grantAgreement/ECO2008-05314/ECON
Also see: https://doi.org/10.1111/j.1435-5957.2012.00456.x
Abstract: Regional disparities in unemployment rates are large and persistent. The literature provides evidence of their magnitude and evolution, as well as evidence of the role of certain economic, demographic and environmental factors in explaining the gap between regions of low and high unemployment. Most of these studies, however, adopt an aggregate approach and so do not account for the individual characteristics of the unemployed and employed in each region. This paper, by drawing on micro-data from the Spanish wave of the Labour Force Survey, seeks to remedy this shortcoming by analysing regional differentials in unemployment rates. An appropriate decomposition of the regional gap in the average probability of being unemployed enables us to distinguish between the contribution of differences in the regional distribution of individual characteristics from that attributable to a different impact of these characteristics on the probability of unemployment. Our results suggest that the well-documented disparities in regional unemployment are not just the result of regional heterogeneity in the distribution of individual characteristics. Non-negligible differences in the probability of unemployment remain after controlling for this type of heterogeneity, as a result of differences across regions in the impact of the observed characteristics. Among the factors considered in our analysis, regional differences in the endowment and impact of an individual's education are shown to play a major role.
Language: English
URI: http://hdl.handle.net/10609/109848
ISSN: 1056-8190MIAR
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