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Duration of Joblessness and Long-term Unemployment: Is Duration as Long as Official Statistics Say?

In: Disadvantaged Workers

Author

Listed:
  • José Maria Arranz

    (University of Alcalà)

  • Carlos Garcia-Serrano

    (University of Alcalà)

Abstract

This article provides an in-depth analysis of duration statistics based on cross-sectional information and compares these statistics with others based on longitudinal data. The objective is to challenge the vision conveyed by conventional data on the incomplete duration of spells of unemployment. We interpret our results as indicating that this sort of information offers a poor guide in countries where labour turnover is large, as is the case in the Spanish labour market. Therefore it should not be used (at least, not alone) to inform policymakers’ decisions and economists’ theoretical works.

Suggested Citation

  • José Maria Arranz & Carlos Garcia-Serrano, 2014. "Duration of Joblessness and Long-term Unemployment: Is Duration as Long as Official Statistics Say?," AIEL Series in Labour Economics, in: Dario Sciulli & Miguel Ángel Malo (ed.), Disadvantaged Workers, edition 1, chapter 14, pages 297-320, AIEL - Associazione Italiana Economisti del Lavoro.
    • Handle: RePEc:ail:chapts:07-14
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    File URL: http://link.springer.com/chapter/10.1007/978-3-319-04376-0_14
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    Cited by:

    1. Elva López Mourelo & Miguel Ángel Malo, 2015. "El mercado de trabajo en España: el contexto europeo, los dos viejos desafíos y un nuevo problema," EKONOMIAZ. Revista vasca de Economía, Gobierno Vasco / Eusko Jaurlaritza / Basque Government, vol. 87(01), pages 32-59.
    2. Vicente Núñez-Antón & Juan Manuel Pérez-Salamero González & Marta Regúlez-Castillo & Carlos Vidal-Meliá, 2020. "Improving the Representativeness of a Simple Random Sample: An Optimization Model and Its Application to the Continuous Sample of Working Lives," Mathematics, MDPI, vol. 8(8), pages 1-27, July.

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