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An Interregional Labour Market Model Incorporating Vacancy Chains And Social Security

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  • Jan Oosterhaven
  • Hendrik Folmer

Abstract

ABSTRACT This paper deals with three aspects of interregional demo‐economic models which are important with respect to the analysis of regional labour market developments. First, attention is paid to forecasts of the exogenous regional variables, such as investments, exports, etc. Because data at the regional level are usually scarce, it is suggested to make these projections by means of a top‐down model. Second, the social security sector is incorporated in the model framework, because changes in social security benefits, which are common in many Western countries nowadays, usually have substantial impacts on regional economic and demographic structures. Third, a vacancy chain model instead of a simple employment growth equation is tied to the standard demo‐economic model framework. In this way not only employment growth hut also migration, job mobility and related income effects can be taken into account.

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  • Jan Oosterhaven & Hendrik Folmer, 1985. "An Interregional Labour Market Model Incorporating Vacancy Chains And Social Security," Papers in Regional Science, Wiley Blackwell, vol. 58(1), pages 141-155, January.
    • Handle: RePEc:bla:presci:v:58:y:1985:i:1:p:141-155
    DOI: 10.1111/j.1435-5597.1985.tb00921.x
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    Cited by:

    1. João-Pedro Ferreira & Pedro Ramos & Luís Cruz & Eduardo Barata, 2018. "The opportunity costs of commuting: the value of a commuting satellite account framework with an example from Lisbon Metropolitan Area," Economic Systems Research, Taylor & Francis Journals, vol. 30(1), pages 105-119, January.
    2. Madsen, Bjarne & Jensen-Butler, Chris, 2004. "Theoretical and operational issues in sub-regional economic modelling, illustrated through the development and application of the LINE model," Economic Modelling, Elsevier, vol. 21(3), pages 471-508, May.
    3. He, Yu & Peng, Xiujian & Xu, Hangtian, 2020. "Overeducation, market recognition, and effective labour supply," China Economic Review, Elsevier, vol. 59(C).
    4. Peter W. J. Batey & Geoffrey J. D. Hewings, 2021. "Demo-economic Modeling: Review and Prospects," International Regional Science Review, , vol. 44(3-4), pages 328-362, May.
    5. Peter W. J. Batey & Adam Z. Rose, 1990. "Extended Input-Output Models: Progress and Potential," International Regional Science Review, , vol. 13(1-2), pages 27-49, April.
    6. Jan Oosterhaven & John H. L. Dewhurst, 1990. "A Prototype Demo-Economic Model with an Application to Queensland," International Regional Science Review, , vol. 13(1-2), pages 51-64, April.
    7. J.-P. Ferreira & P. Ramos & L. Cruz & E. Barata, 2017. "Modeling commuting patterns in a multi-regional input–output framework: impacts of an ‘urban re-centralization’ scenario," Journal of Geographical Systems, Springer, vol. 19(4), pages 301-317, October.
    8. Assoc. Prof. Guy R. West, 1999. "Notes On Some Common Misconceptions In Input-Output Impact Methodology," Discussion Papers Series 262, School of Economics, University of Queensland, Australia.

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