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Spatial persistence of Japanese unemployment rates

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  • Kondo, Keisuke

Abstract

Regional interdependence can make a spatial structure persist, resulting in the formation of unemployment clusters. As such, this study investigates whether Japanese unemployment rates are spatially persistent using a six-period municipal panel dataset built by integrating the country's 1980–2005 population censuses. In order to capture spatially interdependent aspects of regional unemployment, this study takes a spatial statistical approach using the Moran's I and Getis–Ord Gi*(d) statistics. This study finds that municipal unemployment rates in Japan show significant positive spatial autocorrelation. Furthermore, this analysis provides evidence that some groups of spatially contiguous municipalities form unemployment clusters, with heterogeneities among different genders and age groups.

Suggested Citation

  • Kondo, Keisuke, 2015. "Spatial persistence of Japanese unemployment rates," Japan and the World Economy, Elsevier, vol. 36(C), pages 113-122.
    • Handle: RePEc:eee:japwor:v:36:y:2015:i:c:p:113-122
    DOI: 10.1016/j.japwor.2015.11.001
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    More about this item

    Keywords

    Spatial persistence; Regional interdependence; Unemployment rate; Moran's I; Getis–Ord Gi*(d);
    All these keywords.

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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