This paper contains an analysis of a multiregional labour-supply model for Austria. In the approach suggested here attempts are made to combine the advantages of random-utility-based discrete choice theory and partial reduced-form estimation. Two recursive submodels, the labour-force participation submodel, and the commuting and employment submodel, are developed. Three different types of model specifications at the mesolevel are used to analyse the consequences of choosing a spatial framework of overlapping regional labour markets upon the model parameters, to investigate the usefulness of the model approach in relation to different regionalisation variants, and to carry out a sensitivity analysis with respect to the effects of the model parameters used to delineate the labour-market regions.
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References
1.
AnasA, 1981, “The estimation of multinomial logit models of joint location and travel mode choice from aggregated data”Journal of Regional Science21223–242
2.
BaumannJ H, 1981, “Bestimmungsgründe der regionalen Erwerbsbeteiligung in Österreich”, in Theorie und quantitative Methodik in der Geographie Eds BackeBSegerM, Department of Geography, University of Klagenfurt, Universitätsstrasse 65, A-9020 Klagenfurt, Austria; pp 219–249
3.
BaumannJ HFischerM MSchubertU, 1983, “A multiregional labour supply model for Austria: The effects of different regionalisations in multiregional labour market modelling”Papers of the Regional Science Association5253–83
4.
BaumannJ HSchubertU, 1980, “Regional labour force participation in Austria”, IIR-DP-8; copy from Institute of Urban and Regional Studies, Vienna University of Commerce, Augasse 2–6, A-1090 Vienna, Austria
5.
Ben-PorathY, 1973, “Labor force participation rates and the supply of labor”Journal of Political Economy81697–704
6.
ErtlHFischerM MWohlschläglH, 1980, “A methodological approach for large regional taxonomic problems: Spatial patterns of population development in Austria”Papers of the Regional Science Association44119–135
7.
FischerM MNijkampP, 1985, “Developments in explanatory discrete spatial data and choice analysis”Progress in Human Geography9515–551
8.
FischerM MNijkampP, 1987, “From static towards dynamic discrete choice modelling”Regional Science and Urban Economics173–27
9.
GoldbergerA S, 1964Economic Theory (John Wiley, New York)
10.
GreenJ H A, 1969Aggregation in Economic Analysis (Princeton University Press, Princeton, NJ)
IssermanATaylorCGerkingSSchubertU, 1986, “Regional labor market analysis”, in Handbook of Regional and Urban Economics. Volume 1 Ed. NijkampP, (Elsevier, Amsterdam) pp 543–580
13.
KaniakJ, 1981, “Theorie und Methode zur Ermittlung peripherer Gebiete und zur Messung des regionalen Entwicklungsstandes”, available as a mimeo from Institute of Urban and Regional Studies, Vienna University of Commerce, Augasse 2–6, A-1090 Vienna, Austria
14.
KeyfitzNFliegerW, 1971Population, Facts and Methods of Demography (W H Freeman, San Francisco, CA)
15.
LewisH G, 1967, “On income and substitution effects in labor force participation”, available as a mimeo from Department of Economics, University of Chicago, 5801 S Ellis Ave, Chicago, IL 60637
16.
MacKinnonR DRogersonP, 1980, “Vacancy chains, information filters, and interregional migration”Environment and Planning A12649–658
17.
MaierG, 1983, “Migration decision with imperfect information”, IIR-DP-6; copy from Institute of Urban and Regional Studies, Vienna University of Commerce, Augasse 2–6, A-1090 Vienna, Austria
18.
MincerJ, 1966, “Labor-force participation and unemployment. A review of recent evidence”, in Prosperity and Unemployment Eds GordonR AGordonM S, (John Wiley, New York) pp 73–125
19.
MyrdalAKleinV, 1956Die Doppelrolle der Frau in Familie und Beruf (Europa Verlag, Vienna)
20.
OfficerL HAndersenP R, 1969, “Labour-force participation in Canada”The Canadian Journal of Economics2278–287
21.
OpenshawS, 1977, “Optimal zoning systems for spatial interaction models”Environment and Planning A9169–184
22.
RossR, 1979, “Disaggregate labor supply function for married women: Preliminary estimates for New Zealand”, WP-37, Department of Economics, University of Sydney, Sydney, NSW 2006, Australia
23.
RothschildK W, 1980, “A note on female labour supply”Kyklos33246–260
24.
TimmermansM, 1984, “Decision models for predicting preferences among multiattribute choice alternatives”, in Recent Developments in Spatial Data Analysis: Methodology, Measurement, Models Eds BahrenbergGFischerM MNijkampP, (Gower, Aldershot, Hants) pp 337–354
25.
Van den BergLDrewettRKlaassenL HRossiAVijvenbergC H T, 1982Urban Europe 1. A Study of Growth and Decline (Pergamon Press, Oxford)
26.
WachterM L, 1972, “A labor supply model for secondary workers”Review of Economics and Statistics54141–151
