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Labour mobility and regional disparities: the role of female labour participation

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  • Sjef Ederveen
  • Richard Nahuis
  • Ashok Parikh

Abstract

Unemployment rates as well as income per capita differ vastly across the regions of Europe. Labour mobility can play a role in resolving regional disparities. This paper focuses on the questions why labour mobility is low in the EU and how it is possible that it remains low. We explore whether changes in male and female labour participation act as an important alternative adjustment mechanism. We answer this question in the affirmative. We argue that female labour participation is very important in adjusting to regional disparities.
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Suggested Citation

  • Sjef Ederveen & Richard Nahuis & Ashok Parikh, 2007. "Labour mobility and regional disparities: the role of female labour participation," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(4), pages 895-913, October.
  • Handle: RePEc:spr:jopoec:v:20:y:2007:i:4:p:895-913
    DOI: 10.1007/s00148-006-0095-6
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    Cited by:

    1. Arntz, Melanie & Gregory, Terry & Lehmer, Florian, 2011. "Unequal pay or unequal employment? What drives the skill-composition of labor flows in Germany?," ZEW Discussion Papers 11-074, ZEW - Leibniz Centre for European Economic Research.
    2. Michèle Belot & Sjef Ederveen, 2012. "Cultural barriers in migration between OECD countries," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(3), pages 1077-1105, July.
    3. Fredrik Carlsen & Kåre Johansen & Lasse Sigbjørn Stambøl, 2013. "Effects of Regional Labour Markets on Migration Flows, by Education Level," LABOUR, CEIS, vol. 27(1), pages 80-92, March.
    4. Sascha Sardadvar & Silvia Rocha-Akis, 2016. "Interregional migration within the European Union in the aftermath of the Eastern enlargements: a spatial approach," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 36(1), pages 51-79, February.
    5. Cristiano Perugini & Gaetano Martino, 2008. "Income Inequality Within European Regions: Determinants And Effects On Growth," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(3), pages 373-406, September.
    6. Tüzin Baycan & Peter Nijkamp, 2012. "A socio-economic impact analysis of urban cultural diversity: pathways and horizons," Chapters, in: Peter Nijkamp & Jacques Poot & Mediha Sahin (ed.), Migration Impact Assessment, chapter 5, pages 175-202, Edward Elgar Publishing.
    7. Baycan, T. & Nijkamp, P., 2011. "A socio-economic impact analysis of cultural diversity," Serie Research Memoranda 0012, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    8. Luisa Alamá-Sabater & Yolanda de Llanos & Miguel Ángel Márquez & Emili Tortosa-Ausina, 2023. "Evaluating the spatial mismatch between population and factor endowments: The case of the European Union," Working Papers 2023/06, Economics Department, Universitat Jaume I, Castellón (Spain).
    9. Michela Martinoia, 2011. "European Integration, Labour Market Dynamics and Migration Flows," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 8(1), pages 97-127, June.

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    More about this item

    Keywords

    Labour mobility; European Union; Panel data methods; F22; J61; C33;
    All these keywords.

    JEL classification:

    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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