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A Multiregional Labour Supply Model For Austria: The Effects Of Different Regionalisations In Multiregional Labour Market Modelling

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  • Johann H. Baumann
  • Manfred M. Fischer
  • Uwe Schubert

Abstract

ABSTRACT The design of a spatial Framework in multi‐ and interregional modelling is a crucial element of the research process. In this paper an attempt is made to present some empirical evidence with respect to two hypotheses, the scale hyothesis and the aggregation hypothesis. This will be achieved by estimating the parameters and testing the performance of a multiregional labour supply model for Austria. Five regionalisation approaches are specified for delineating (functional) labour market regions. The paper shows that it is by no means admissible to ignore possible effects of the spatial representation choice. The fundamental question of which regionalisation should be chosen should be decided on the basis of relevant evaluation criteria.

Suggested Citation

  • Johann H. Baumann & Manfred M. Fischer & Uwe Schubert, 1983. "A Multiregional Labour Supply Model For Austria: The Effects Of Different Regionalisations In Multiregional Labour Market Modelling," Papers in Regional Science, Wiley Blackwell, vol. 52(1), pages 53-83, January.
    • Handle: RePEc:bla:presci:v:52:y:1983:i:1:p:53-83
    DOI: 10.1111/j.1435-5597.1983.tb01651.x
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    Cited by:

    1. Marián Halás & Pavel Klapka & Petr Tonev & Marek Bednář, 2015. "An alternative definition and use for the constraint function for rule-based methods of functional regionalisation," Environment and Planning A, , vol. 47(5), pages 1175-1191, May.
    2. Frank Cörvers & Maud Hensen, 2003. "The regionalization of labour markets by modelling commuting behaviour," ERSA conference papers ersa03p199, European Regional Science Association.
    3. Papps, Kerry L. & Newell, James O., 2002. "Identifying Functional Labour Market Areas in New Zealand: A Reconnaissance Study Using Travel-to-Work Data," IZA Discussion Papers 443, Institute of Labor Economics (IZA).
    4. Chakraborty, A. & Beamonte, M.A. & Gelfand, A.E. & Alonso, M.P. & Gargallo, P. & Salvador, M., 2013. "Spatial interaction models with individual-level data for explaining labor flows and developing local labor markets," Computational Statistics & Data Analysis, Elsevier, vol. 58(C), pages 292-307.
    5. Longhi, Simonetta & Nijkamp, Peter & Reggiani, Aura & Blien, Uwe, 2002. "Forecasting regional labour markets in Germany: an evaluation of the performance of neural network analysis," ERSA conference papers ersa02p117, European Regional Science Association.
    6. J Baumann & M M Fischer & U Schubert, 1988. "A Choice-Theoretical Labour-Market Model: Empirical Tests at the Mesolevel," Environment and Planning A, , vol. 20(8), pages 1085-1102, August.

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