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Spatial Patterns of German Labor Market: Panel Data Analysis of Regional Unemployment

In: Geographical Labor Market Imbalances

Author

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  • Elena Semerikova

    (National Research University Higher School of Economics (HSE))

Abstract

This chapter is devoted to the investigation of spatial spillover effects of the regional unemployment in Germany. Due to historical reasons, the differences between eastern and western regions of Germany persist over time. We explore the differences in the determinants of the regional unemployment as well as the differences in spatial effects by estimating spatial models. We use panel data for 407 out of 413 German regions (using the NUTS III regional structure) for 2001 through 2009. In order to account for possible spatial interactions between regions, we use a spatial weighting matrix of inverse distances. We estimate static and dynamic models by the maximum likelihood estimation approach, developed by Anselin (Spatial econometrics: Methods and models, Berlin: Springer, 1988) specifically for spatial models and elaborated by Lee and Yu (Journal of Econometrics, 154, 165–185, 2010a; Regional Science and Urban Economics, 40, 255–271, 2010b). We reveal that the unemployment in western regions is more of disequilibrium nature, while the unemployment in eastern regions is more of equilibrium nature. Using System GMM approach, we estimate the extended specification of the dynamic model and find that the unemployment in eastern regions affects both the unemployment in western and eastern regions of Germany, whereas the unemployment in western regions has an impact only on other western regions.

Suggested Citation

  • Elena Semerikova, 2015. "Spatial Patterns of German Labor Market: Panel Data Analysis of Regional Unemployment," AIEL Series in Labour Economics, in: Chiara Mussida & Francesco Pastore (ed.), Geographical Labor Market Imbalances, edition 127, chapter 0, pages 37-64, Springer.
    • Handle: RePEc:spr:aiechp:978-3-642-55203-8_3
    DOI: 10.1007/978-3-642-55203-8_3
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    Cited by:

    1. Pablo Fernández & Marcos Herrera Gómez, 2023. "Regresiones SUR Espaciales. Análisis Espacio-temporal del Empleo Sectorial en Argentina," Working Papers 279, Red Nacional de Investigadores en Economía (RedNIE).
    2. Roberto Basile & Alessandro Girardi & Marianna Mantuano & Giuseppe Russo, 2016. "Interregional Migration, Human Capital Externalities and Unemployment Dynamics: Evidence from Italian Provinces," CSEF Working Papers 460, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    3. Laura Helena KIVI & Tiiu PAAS, 2021. "Spatial interactions of employment in European labour markets," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 12, pages 196-211, August.
    4. Laura Helena Kivi, 2019. "Spatial Interactions Of Regional Labour Markets In Europe," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 116, Faculty of Economics and Business Administration, University of Tartu (Estonia).

    More about this item

    Keywords

    Germany; Regional unemployment; Spatial panel data analysis;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

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