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Spatial unemployment differentials in Colombia

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Between 1993 and 2005 Colombian municipalities experienced a polarization process, as municipalities’ unemployment rates followed different evolutions that are relative to the National average. This process was been accompanied by the creation of unemployment clusters. This paper uses a spatial Durbin model to explore the influence of various factors in determining differences in regional unemployment rates and proposes a decomposition methodology to quantify how much of the variation in unemployment rate is explained by the variables included in the model and how much is explained by the variables omitted. According to our findings, differences in labor demand, immigration rates, and urbanization are factors behind the observed municipal unemployment disparities. This paper also explores whether different groups of regions will react differently to a labor market impulse.

Translated title of the contributionDiferenciales espaciales en la tasa de desempleo en Colombia
Original languageEnglish
Pages (from-to)123-163
Number of pages41
JournalDesarrollo y Sociedad
Volume2016
Issue number76
DOIs
StatePublished - 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities
  3. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Clustering
  • Local labor markets
  • Polarization
  • Spatial durbin model
  • Spatial econometrics
  • Unemployment differential

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