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A Spatial and Temporal analysis of Labour Market Characteristics

Author

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  • Pośpiech Ewa

    (University of Economics in Katowice, Faculty of Management, Department of Mathematics, 1 Maja 50, 40-287 Katowice, Poland)

  • Mastalerz-Kodzis Adrianna

    (University of Economics in Katowice, Faculty of Management, Department of Mathematics, 1 Maja 50, 40-287 Katowice, Poland)

Abstract

The use of spatial methods is becoming increasingly common in social and economic research as it emphasizes the relevance of spatiality to the understanding of socio-economic facts. Once embraced, the spatial factor can substantially help explain variations in the properties being examined, thus improving the quality of their description and supporting the development of econometric models. This paper explores some of the characteristics of Poland’s job market, making an inquiry into their spatial dependencies. The study looks at the country’s labour market from a local perspective, examining its properties for spatial autocorrelation (both global and local). Linear econometric models are subsequently built for such variables as the number of persons in employment, the number of women and men in employment. The models are further investigated to assess the applicability of spatial modelling in their development.

Suggested Citation

  • Pośpiech Ewa & Mastalerz-Kodzis Adrianna, 2016. "A Spatial and Temporal analysis of Labour Market Characteristics," Folia Oeconomica Stetinensia, Sciendo, vol. 16(2), pages 60-71, December.
    • Handle: RePEc:vrs:foeste:v:16:y:2016:i:2:p:60-71:n:5
    DOI: 10.1515/foli-2016-0025
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    References listed on IDEAS

    as
    1. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
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    More about this item

    Keywords

    spatial autocorrelation; global statistics; local statistics; spatial modelling; labour market characteristics;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General

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