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Cantonal and Regional Unemployment in Switzerland: A Dynamic Macroeconomic Panel Analysis

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  • Lars P. Feld
  • Marcel R. Savioz

Abstract

In this paper, factors explaining the regional disparity of unemployment in Switzerland at the level of the Swiss states (cantons) and labor market regions over time are examined. We estimate a dynamic panel using particularly suited estimation techniques in order to find out to what extent existing estimation results are robust to the econometric specification. We find that particularly high tax burdens increase cantonal unemployment, the number of foreign workers is positively correlated with unemployment and human capital investment reduces unemployment.

Suggested Citation

  • Lars P. Feld & Marcel R. Savioz, 2000. "Cantonal and Regional Unemployment in Switzerland: A Dynamic Macroeconomic Panel Analysis," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 136(III), pages 463-483, September.
  • Handle: RePEc:ses:arsjes:2000-iii-14
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    Cited by:

    1. Hujer, Reinhard & Zeiss, Christopher, 2005. "Vermittlungsgutscheine: Zwischenergebnisse der Begleitforschung 2004 : Teil 4: Makroökonomische Wirkungsanalyse," IAB-Forschungsbericht 200504, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Yves Flückiger & Anatoli Vassiliev, 2002. "Les raisons des différences de chômage entre Genève et le reste de la Suisse," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 138(IV), pages 387-410, December.
    3. Alois Stutzer & Rafael Lalive, 2002. "Soziale Arbeitsnorm und Arbeitslosigkeit in der Schweiz," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 138(III), pages 293-316, September.
    4. Sylvain Weber, 2006. "Durées de chômage et nationalités: Une analyse empirique pour la Suisse," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 142(I), pages 147-193, March.

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