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A Spatial-Dependence Continuous-Time Model for Regional Unemployment in Germany

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Author Info

  • Johan H. L. Oud

    ()
    (Radboud University Nijmegen, The Netherlands)

  • Henk Folmer

    ()
    (University of Groningen, The Netherlands; University of Wageningen, The Netherlands)

  • Roberto Patuelli

    ()
    (University of Lugano, Switzerland; The Rimini Centre for Economic Analysis, Italy)

  • Peter Nijkamp

    ()
    (VU University Amsterdam, The Netherlands)

Abstract

This paper analyzes patterns of regional labour market development in Germany over the period 2000-2003 by means of a spatial-dependence continuous-time model. (Spatial) panel data are routinely modelled in discrete time. However, there are compelling arguments for continuous time modelling of (spatial) panel data. Particularly, most social processes evolve in continuous time such that analysis in discrete time is an oversimplification, gives a distorted representation of reality and leads to misinterpretation of estimation results. The most compelling reason for continuous time modelling is that, in contrast to discrete time modelling, it allows for adequate modelling of dynamic adjustment processes (see, for example, Special Issue 62:1, 2008, of Statistica Neerlandica). We introduce spatial dependence in a continuous time modelling framework and apply the unified framework to regional labour market development in Germany. The empirical results show substantial autoregressive effects for unemployment and population development, as well as a negative effect of unemployment development on population development. The reverse effect is not significant. Neither are the effects of the development of regional average wages and of the manufacturing sector on the development of unemployment and population.

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Bibliographic Info

Paper provided by USI Università della Svizzera italiana in its series Quaderni della facoltà di Scienze economiche dell'Università di Lugano with number 0811.

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Length: 19 pages
Date of creation: Dec 2008
Date of revision:
Handle: RePEc:lug:wpaper:0811

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Web page: https://www.bul.sbu.usi.ch

Related research

Keywords: Continuous time modelling; structural equation modelling; spatial dependence; panel data; disattenuation; measurement errors; Germany;

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Cited by:
  1. Danny Czamanski & Henk Folmer, 2011. "Introduction: some new methods in regional science," The Annals of Regional Science, Springer, vol. 47(3), pages 493-497, December.
  2. Roberto Patuelli & Norbert Schanne & Daniel A. Griffith & Peter Nijkamp, 2012. "Persistence Of Regional Unemployment: Application Of A Spatial Filtering Approach To Local Labor Markets In Germany," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 300-323, 05.

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