Advertisement

Papers of the Regional Science Association

, Volume 52, Issue 1, pp 53–83 | Cite as

A multiregional labour supply model for Austria: The effects of different regionalisations in multiregional labour market modelling

  • Johann H. Baumann
  • Manfred M. Fischer
  • Uwe Schubert
Regional Labour Markets in Europe

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.

Keywords

Labour Market Empirical Evidence Evaluation Criterion Labour Supply Research Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Alonso, W. 1964.Location and land use. Cambridge, Mass.: Harvard University Press.Google Scholar
  2. Baumann, J. H. 1981. Bestimmungsgründe der regionalen Erwerbsbeteiligung in Österreich. InTheorie und Quantitative Methodik in der Geographie, eds. B. Backé and M. Seger, pp. 219–249. Klagenfurt: Institut fur Geographie, Universität Klagenfurt.Google Scholar
  3. Baumann, J. H. and Schubert, U. 1980. Regional labour force participation in Austria. Paper presented at the 20th European Regional Science Congress, Munich.Google Scholar
  4. Brown, L. A. and Holmes, J. 1971. The delimitation of functional regions, nodal regions, and hierarchies by functional distance approaches,Journal of Regional Science 11: 57–72.Google Scholar
  5. Clement, W., Ahammer, P. and Kaluza, A. 1980.Bildungsexpansion und Arbeitsmarkt. Vienna: Signum-Verlag.Google Scholar
  6. Domencich, T. A. and McFadden, D. 1975.Urban travel demand: a behavioral analysis. Amsterdam: North-Holland.Google Scholar
  7. Ertl, H., Fischer, M. M. and Wohlschlägl, H. 1980. A methodological approach for large regional taxonomic problems: spatial patterns of population development in Austria.Papers of the Regional Science Association 44: 119–135.Google Scholar
  8. Fienberg, S. E. 1970. An iterative procedure for estimation in contingency tables.The Annals of Mathematical Statistics 41: 907–917.Google Scholar
  9. Fischer, M. M. 1982a.Eine Methodologie der Regionaltaxonomie. Probleme und Verfahren der Klassifikation und Regionalisierung in der Geographie und Regionalforschung. Bremen: Schwerpunkt Geographie, Universität Bremen, (=Bremer Beiträge zur Geographie und Raumplanung, Vol. 3).Google Scholar
  10. Fischer, M. M. 1982b. Some fundamental problems in homogeneous and functional regional taxonomy. InSocieties-regions-boundaries, ed. A. Kuklinski. New Babylon: Studies in the Social Sciences. UNRISD and Mouton Publishers (in press).Google Scholar
  11. Hartley, M. J. and Revankar, N. S. 1973. Labor supply under uncertainty and the rate of unemployment.American Economic Review 64:170–175.Google Scholar
  12. Holmes, J. 1978. Dyadic interaction matrices: a review of transformation purposes and procedures.Progress in Human Geography 2:467–493.Google Scholar
  13. Holmes, J. 1978b. Transformation of flow matrices to eliminate the effects of differing sizes of origin-destination units: a further comment.IEEE, Transactions on Systems, Man, and Cybernetics 8: 325–332.Google Scholar
  14. Issaev, B., Snickars, F., Nijkamp, P., and Rietveld, P. 1982.Practice and prospect of multiregional modelling. Amsterdam: North-Holland.Google Scholar
  15. Kaniak, J. 1981.Theorie und Methode zur Ermittlung peripherer Gebiete und zur Messung des regionalen Entwicklungsstandes. Vienna: Interdisziplinäres Institut für Raumordnung, Wirtschaftsuniversital, unpublished paper.Google Scholar
  16. Lancaster, K. J. 1966. A new approach to consumer theory.Journal of Political Economy 84: 132–157.Google Scholar
  17. Luce, R. C. 1959.Individual choice behavior: A theoretical analysis. New York: John Wiley.Google Scholar
  18. Maier, G. and Schuber, U. 1981. Ein Migrationsmodellnach Qualifkationen—ein ökonometrischer Ansatzfur für Österreich.Seminarberichte der Gesellschaft für Regionalforschung 17: 177–215.Google Scholar
  19. Maier, G., Schubert, U.,and Brunner, E. 1981. Energy use, environmental quality and urbanization. Paper presented at the 21st European Regional Science Congress, Barcelona.Google Scholar
  20. Malinvaud, E. 1978.The theory of unemployment reconsidered. Oxford:Basil Blackwell.Google Scholar
  21. Masser, I. 1981.The analysis of spatial interaction data. University of Sheffield: Department of Town and Regional Planning, TRP 31.Google Scholar
  22. Masser, I. and Scheurwater, J. 1980. The functional regionalisation of spatial interaction data: an evaluation of some suggested strategies.Environment and Planning A 12: 1357–1382.Google Scholar
  23. Mincer, J. 1966. Labor-force participation and unemployment: a review of recent evidence. InProsperity and unemployment, eds. R. A. Gordon and M. S. Gordon, pp. 73–125. New York: John Wiley.Google Scholar
  24. Officer, L. H. and Andersen, P. R. 1969. Labour-force participation in Canada.The Canadian Journal of Economics 2: 278–287.Google Scholar
  25. Openshaw, S. 1977. Optimal zoning systems for spatial interaction models.Environment and Planning A 9: 169–184.Google Scholar
  26. Paelinck, J. H. and Nijkamp, P. 1976.Operational theory and method in regional economics. London: Saxon House.Google Scholar
  27. Perlman, R. 1969.Labor theory. New York: John Wiley.Google Scholar
  28. Schubert, U. 1982. PEMO, an interregional labor market study for Austria.Environment and Planning A 14, 1233–1249.Google Scholar
  29. Slater, P. B. 1976. A hierarchical regionalization of Japanese prefectures using 1972 interprefectural migration flows.Regional Studies 10: 123–132.Google Scholar
  30. Slater, P. B. 1981a. Combinatorial procedures for structuring internal migration and other transaction flows.Quality and Quantity 15: 179–202.CrossRefGoogle Scholar
  31. Slater, P. B. 1981b. Comparisons of aggregation procedures for interaction data: an illustration using a college student international flow table.Socio-Economic Planning Sciences 15: 1–8.CrossRefGoogle Scholar
  32. Stephenson, L. K. 1974. On functional regions and indirect flows.Geographical Analysis 6: 383–385.Google Scholar
  33. van Lierop, W. and Nijkamp, P. 1978.A utility framework for interaction models for spatial processes. Amsterdam: Vrije Universiteit, Economische Faculteit, RM-1978/12.Google Scholar

Copyright information

© The Regional Science Association 1983

Authors and Affiliations

  • Johann H. Baumann
    • 1
  • Manfred M. Fischer
    • 2
  • Uwe Schubert
    • 3
  1. 1.Institute of EconomicsUniversity of ViennaViennaAustria
  2. 2.Institute of GeographyUniversity of ViennaViennaAustria
  3. 3.Interdisciplinary Institute of Urban and Regional StudiesUniversity of EconomicsViennaAustria

Personalised recommendations