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Labour-Market Search and Urban Residential Structure

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  • G R Crampton

    (Department of Economics, Faculty of Urban and Regional Studies, University of Reading, PO Box 219, Whiteknights, Reading RG6 6AW, England)

Abstract

The application of labour market matching theory to the context of urban spatial variations in vacancies, unemployment, and job search has recently begun to receive research attention. Empirical analysis is very difficult because of the virtual unobservability of job search. Various forms of theoretical study of spatial labour markets are summarised in this paper, together with macroeconomic empirical evidence on labour matching technology. The Cobb—Douglas form of the matching function is applied to a simple linear city model, and theoretical relationships are derived which would be necessary for a static urban labour market equilibrium. A start is made on the theoretical implications of calculating an optimal job search area for individual workers, and a complex integral form of a present value function is obtained.

Suggested Citation

  • G R Crampton, 1997. "Labour-Market Search and Urban Residential Structure," Environment and Planning A, , vol. 29(6), pages 989-1002, June.
    • Handle: RePEc:sae:envira:v:29:y:1997:i:6:p:989-1002
    DOI: 10.1068/a290989
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    References listed on IDEAS

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    1. Pissarides, C A, 1979. "Job Matchings with State Employment Agencies and Random Search," Economic Journal, Royal Economic Society, vol. 89(356), pages 818-833, December.
    2. van den Berg, Gerard J, 1992. "A Structural Dynamic Analysis of Job Turnover and the Costs Associated with Moving to Another Job," Economic Journal, Royal Economic Society, vol. 102(414), pages 1116-1133, September.
    3. Alan W. Evans, 1973. "The Economics of Residential Location," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-349-01889-5.
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    Cited by:

    1. Sato, Yasuhiro, 2004. "City structure, search, and workers' job acceptance behavior," Journal of Urban Economics, Elsevier, vol. 55(2), pages 350-370, March.

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