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Labour Market in Motion: Analysing Regional Flows in a Multi‐accounting System

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  • Anette Haas
  • Thomas Rothe

Abstract

. The analysis of labour market dynamics is essential for labour market research and policy advice. We develop a flexible flow approach system — a multi‐accounting system (MAS) — dealing with flows and stocks on regional labour markets. Combining administrative data at the micro level with various macro data, the MAS describes the dynamic transition process of the 180 local labour market areas in Germany. We use a new algorithm, related to entropy optimization, to estimate unknown transitions. Compared with conventional methods, the main advantage of our proceeding is that additional information from different data sources can be included that is of an inherently fuzzy character.

Suggested Citation

  • Anette Haas & Thomas Rothe, 2007. "Labour Market in Motion: Analysing Regional Flows in a Multi‐accounting System," LABOUR, CEIS, vol. 21(4‐5), pages 667-687, December.
    • Handle: RePEc:bla:labour:v:21:y:2007:i:4-5:p:667-687
    DOI: 10.1111/j.1467-9914.2007.00397.x
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    References listed on IDEAS

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    1. Rothe, Thomas, 2006. "Die Arbeitskräftegesamtrechnung für West- und Ostdeutschland : Konzeption und ausgewählte Ergebnisse," IAB-Forschungsbericht 200614, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Broersma, Lourens & Butter, Frank A.G. den & Kock, Udo, 1998. "A national accounting system for labour market flows : an application to the Netherlands," Serie Research Memoranda 0059, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    3. Pedro N. Ramos, 2003. "A Regional Model for the Portuguese Economy Based on a Regional Accounting Matrix," Notas Económicas, Faculty of Economics, University of Coimbra, issue 18, pages 18-30, December.
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    1. Uwe Blien & Friedrich Graef, 2013. "The ADETON method," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 33(2), pages 135-150, October.

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