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Uneployment Dynamics in Central Europe: A Labour Flow Approach

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  • Vladislav Flek
  • Martina Mysíková

Abstract

We analyse labour market flows and unemployment rate dynamics in the Czech Republic (CR), Slovakia and Poland. Relative involvement of working-age individuals in movements between various labour market states appears to be approximately five times lower in Central Europe than in the U.S./UK. Compared to neighbouring countries, the CR suffers from a relatively weaker net flow of individuals from unemployment to employment. This net flow alone would cut the unemployment rate in Poland more than twice as fast as in the CR. In particular, currently unemployed Czech men, individuals with primary education, and the 55-65 age group are adversely affected by this national-specific feature of labour market flows.

Suggested Citation

  • Vladislav Flek & Martina Mysíková, 2015. "Uneployment Dynamics in Central Europe: A Labour Flow Approach," Prague Economic Papers, Prague University of Economics and Business, vol. 2015(1), pages 73-87.
    • Handle: RePEc:prg:jnlpep:v:2015:y:2015:i:1:id:501:p:73-87
    DOI: 10.18267/j.pep.501
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    4. Bruce Fallick & Charles A. Fleischman, 2004. "Employer-to-employer flows in the U.S. labor market: the complete picture of gross worker flows," Finance and Economics Discussion Series 2004-34, Board of Governors of the Federal Reserve System (U.S.).
    5. Steven J. Davis & R. Jason Faberman & John Haltiwanger, 2006. "The Flow Approach to Labor Markets: New Data Sources and Micro-Macro Links," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 3-26, Summer.
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    Citations

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    Cited by:

    1. Simionescu Mihaela, 2018. "What Drives Economic Growth in Some CEE Countries?," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 28(1), pages 46-56, March.
    2. Marija Buselic & Jurica Bosna, 2019. "Defining the Unemployment Determinants of the Post-Transition Central European EU Member Countries," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 17(1 (Spring), pages 79-103.
    3. Ondřej Dvouletý, 2023. "Underemployment and overemployment in Central Europe," Economics and Business Letters, Oviedo University Press, vol. 12(2), pages 147-156.
    4. Schoiswohl Florian & Wüger Michael, 2016. "A Representative Matched Cross-section Survey for Austria - Measuring Worker Flow Dynamics with the Austrian Labour Force Survey," Department of Economics Working Papers wuwp223, Vienna University of Economics and Business, Department of Economics.
    5. Ieva Brauksa & Ludmila Fadejeva, 2013. "Internal Labour Market Mobility in 2005-2011: The Case of Latvia," Working Papers 2013/02, Latvijas Banka.
    6. Maria Symeonaki & Dimitrios Parsanoglou & Glykeria Stamatopoulou, 2019. "The Evolution of Early Job Insecurity in Europe," SAGE Open, , vol. 9(2), pages 21582440198, May.
    7. Kamil Galuscak & Jan Solc & Pawel Strzelecki, 2018. "Labour Market Flows over the Business Cycle: The Role of the Participation Margin," Working Papers 2018/17, Czech National Bank.
    8. Maria Symeonaki & Glykeria Stamatopoulou, 2020. "On the Measurement of Positive Labor Market Mobility," SAGE Open, , vol. 10(3), pages 21582440209, July.
    9. Ludmila Fadejeva & Ieva Opmane, 2016. "Internal labour market mobility in 2005–2014 in Latvia: the micro data approach," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 16(2), pages 152-174.

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    More about this item

    Keywords

    EU-SILC; labour market flows; longitudinal data; unemployment;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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