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The Importance of Spatial Autocorrelation for Regional Employment Growth in Germany

Author

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  • Ulrich Zierahn

    (University of Kassel and Hamburg Institute of International Economics)

Abstract

In analyzing the disparities of the regional developments in the volume of employment in Germany, in the recent empirical literature so called shift-share-regression-models are frequently applied. However, these models usually neglect spatial interdependencies, even though such interdependencies are likely to occur on a regional level. Therefore, this paper focuses on the importance of spatial dependencies using spatial autocorrelation in order to analyze regional employment development. Spatial dependency in the form of spatial lag, spatial error and cross regressive model are compared. The results indicate that the exogenous variables’ spatial lag sufficiently explains the spatial autocorrelation of regional employment growth.

Suggested Citation

  • Ulrich Zierahn, 2010. "The Importance of Spatial Autocorrelation for Regional Employment Growth in Germany," MAGKS Papers on Economics 201031, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    • Handle: RePEc:mar:magkse:201031
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    File URL: https://www.uni-marburg.de/en/fb02/research-groups/economics/macroeconomics/research/magks-joint-discussion-papers-in-economics/papers/2010-papers/31-2010_zierahn.pdf
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    1. is not listed on IDEAS
    2. Pietro Pizzuto, 2020. "The role of regional competitiveness in shaping the heterogeneous impact of the Great Recession," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(2), pages 267-290, April.
    3. Uwe Blien & Lutz Eigenhueller & Markus Promberger & Norbert Schanne, 2013. "The Shift-Share Regression: An Application to Regional Employ-ment Development," ERSA conference papers ersa13p614, European Regional Science Association.
    4. Matthias Firgo & Oliver Fritz, 2017. "Does having the right visitor mix do the job? Applying an econometric shift-share model to regional tourism developments," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(3), pages 469-490, May.
    5. Christian Oberst & Jens Oelgemöller, 2013. "Economic Growth and Regional Labor Market Development in German Regions: Okun’s Law in a Spatial Context," FCN Working Papers 5/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).

    More about this item

    Keywords

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    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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