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The Matthew effect of unemployment: how does it affect wages in Belgium

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  • Amynah Vanessa Gangji
  • Robert Plasman

Abstract

Better understand the consequences of unemployment in terms of labour market opportunities as well as psychological well-being is of primary importance for any policies aimed at reducing unemployment. One way by which unemployment may impact on future labour market outcomes is through a reduction of subsequent earnings. This study therefore investigates the effects of the incidence and duration of unemployment on re-entry wages in Belgium using the Panel Study on Belgian Households for the period 1994-2002. The methodology used is based on a fixed effects model controlling for unobserved heterogeneity and sample selection bias. Results suggest that unemployment most often has a detrimental effect in terms of future labour market prospects. In other words, it can hardly be seen as an investment period allowing the unemployed to find a better match afterwards. The unemployment penalty may vanish if the unemployed find a stable job. However they are most often characterized by smaller average number of tenure years than individuals who did not go through such an experience. Consequently there is a risk that individuals having experienced unemployment will never be able to eliminate the wage penalty if they do not enter into stable job. Finally, we have found robust evidence that the wage penalty increases as the unemployment spell lengthens. This result is particularly alarming given the high proportion of long term unemployment in Belgium. These conclusions imply that unemployment costs go beyond the simple loss of income and human capital associated with job loss. This implies a substantial leeway for public intervention.

Suggested Citation

  • Amynah Vanessa Gangji & Robert Plasman, 2007. "The Matthew effect of unemployment: how does it affect wages in Belgium," DULBEA Working Papers 07-19.RS, ULB -- Universite Libre de Bruxelles.
  • Handle: RePEc:dul:wpaper:07-19rs
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    References listed on IDEAS

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    4. Corinna Ghirelli, 2015. "Scars of early non-employment for low educated youth: evidence and policy lessons from Belgium," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-34, December.
    5. Bart Cockx & Matteo Picchio, 2013. "Scarring effects of remaining unemployed for long-term unemployed school-leavers," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(4), pages 951-980, October.
    6. Mattia Filomena, 2021. "Unemployment Scarring Effects: A Symposium On Empirical Literature," Working Papers 453, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
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    8. Benoît Mahy & François Rycx & Mélanie Volral, 2008. "L'influence de la dispersion salariale sur la performance des grandes entreprises belges," Reflets et perspectives de la vie économique, De Boeck Université, vol. 0(3), pages 27-40.
    9. Charles Plaigin, 2009. "Exploratory study on the presence of cultural and institutional growth spillovers," DULBEA Working Papers 09-03.RS, ULB -- Universite Libre de Bruxelles.
    10. Rannenberg, Ansgar, 2009. "The Taylor Principle and (In-) Determinacy in a New Keynesian Model with hiring Frictions and Skill Loss," SIRE Discussion Papers 2009-48, Scottish Institute for Research in Economics (SIRE).
    11. Sile Padraigin O'Dorchai, 2008. "Pay inequality in 25 European countries," DULBEA Working Papers 0006, ULB -- Universite Libre de Bruxelles.
    12. Corinna GHIRELLI, 2015. "Scars of early non-employment in a rigid labour market," LIDAM Discussion Papers IRES 2015008, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    13. Pierre-Guillaume Méon & Ariane Szafarz, 2008. "Labor market discrimination as an agency cost," DULBEA Working Papers 08-19.RS, ULB -- Universite Libre de Bruxelles.
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    More about this item

    Keywords

    unemployment incidence and duration; wage penalty; fixed effects model; sample selection bias.;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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