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Determinants of Spatial Weights in Spatial Wage Equations: A Sensitivity Analysis within a Consistent Framework

Author

Listed:
  • Gabriel Ahlfeldt

    (Chair for Economic Policy, University of Hamburg)

  • Arne Feddersen

    (Chair for Economic Policy, University of Hamburg)

Abstract

Recent empirical tests for a spatial wage structure have confirmed regional accessibility to be a significant determinant for income, although estimates vary considerably with respect to the geographic scope of estimated demand linkages. Our study is the first to estimate spatial demand linkages for a set of more than 1,300 European NUTS 3 regions (U.S. county equivalent) based on effective road travel times. We conduct a series of more than 200 estimations on the basis of the Harris Market Potential Equation in order to evaluate the estimates’ sensitivity to various model alterations in a meta-analysis. In line with the distinct spatial interactions captured at different levels of aggregation, our estimates reveal lower average travel costs when data aggregated to larger geographic units are used. The largest sensitivity, however, is found for sample restrictions to a limited geographic coverage, which is likely to account for the inconsistent results available in the literature.

Suggested Citation

  • Gabriel Ahlfeldt & Arne Feddersen, 2008. "Determinants of Spatial Weights in Spatial Wage Equations: A Sensitivity Analysis within a Consistent Framework," Working Papers 022, Chair for Economic Policy, University of Hamburg.
    • Handle: RePEc:hce:wpaper:022
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    File URL: https://www.hced.uni-hamburg.de/WorkingPapers/022.pdf
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    Citations

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    Cited by:

    1. Dong, Lei & Du, Rui & Kahn, Matthew & Ratti, Carlo & Zheng, Siqi, 2021. "“Ghost cities” versus boom towns: Do China's high-speed rail new towns thrive?," Regional Science and Urban Economics, Elsevier, vol. 89(C).
    2. Falch, Torberg & Fischer, Justina A.V., 2012. "Public sector decentralization and school performance: International evidence," Economics Letters, Elsevier, vol. 114(3), pages 276-279.
    3. Haller, Peter & Heuermann, Daniel F., 2016. "Job search and hiring in local labor markets: Spillovers in regional matching functions," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 125-138.
    4. Fischer, Justina AV & Sousa-Poza, Alfonso, 2010. "The impact of institutions on firms’ rejuvenation policies: Early retirement with severance pay versus simple lay-off. A Cross-European Analysis," MPRA Paper 20343, University Library of Munich, Germany.
    5. Fernando Bruna, 2015. "Why do empirical tests tend to accept the NEG? An alternative approach to the 'wage equation' in European regions," Working Papers 15-11, Asociación Española de Economía y Finanzas Internacionales.
    6. Ulrich Zierahn, 2012. "The effect of market access on the labor market: Evidence from German reunification," MAGKS Papers on Economics 201239, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

    More about this item

    Keywords

    Market Potential; Nominal Wage Equation; New Economic Geography; Sensitivity Analysis;
    All these keywords.

    JEL classification:

    • F15 - International Economics - - Trade - - - Economic Integration
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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