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Re-employment Rates of Older Unemployed Workers: Decomposing the Effect of Birth Cohorts and Policy Changes

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  • Pierre Koning
  • Max Raterink

Abstract

In many European countries, re-employment probabilities of older unemployed workers are relatively low. While there is evidence that financial incentives and search obligations are effective to increase the job prospects of older workers, recent research also stresses the importance of birth cohort effects. These cohort effects may in turn stem from higher educational attainment levels and better health conditions of future generations of older workers. This paper empirically assesses the relative importance of both explanations, using a registered data set of unemployment insurance spells between 1999 and 2008 for the Netherlands. Using a Linear Probability Model, we decompose the effects of birth cohorts, age, calendar time and two policy measures that were targeted at older unemployed workers—i.e. increased job search obligations in 2004 and shorter potential benefit durations (PBD) in 2006. We find that policy effects predominantly explain the increased job return rates of unemployed of 55 years and older from 1999 to 2008. The introduction of search requirements has increased the one-year re-employment probability of eligible older men with about 5 % point, while the reduction in PBD has caused the one-year re-employment probability of eligible men to increase with 3 % point. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • Pierre Koning & Max Raterink, 2013. "Re-employment Rates of Older Unemployed Workers: Decomposing the Effect of Birth Cohorts and Policy Changes," De Economist, Springer, vol. 161(3), pages 331-348, September.
  • Handle: RePEc:kap:decono:v:161:y:2013:i:3:p:331-348
    DOI: 10.1007/s10645-013-9208-2
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    References listed on IDEAS

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    1. Lalive, Rafael, 2008. "How do extended benefits affect unemployment duration A regression discontinuity approach," Journal of Econometrics, Elsevier, vol. 142(2), pages 785-806, February.
    2. Patrick Hullegie & Jan Ours, 2014. "Seek and Ye Shall Find: How Search Requirements Affect Job Finding Rates of Older Workers," De Economist, Springer, vol. 162(4), pages 377-395, December.
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    5. Bennmarker, Helge & Skans, Oskar Nordström & Vikman, Ulrika, 2013. "Workfare for the old and long-term unemployed," Labour Economics, Elsevier, vol. 25(C), pages 25-34.
    6. Angus S. Deaton & Christina Paxson, 1994. "Saving, Growth, and Aging in Taiwan," NBER Chapters, in: Studies in the Economics of Aging, pages 331-362, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Rob Euwals, 2014. "The Labour Market for Older Workers: Mechanisms and Institutions," De Economist, Springer, vol. 162(4), pages 309-313, December.
    2. Boockmann Bernhard & Brändle Tobias, 2019. "Coaching, Counseling, Case-Working: Do They Help the Older Unemployed Out of Benefit Receipt and Back Into the Labor Market?," German Economic Review, De Gruyter, vol. 20(4), pages 436-468, December.

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    More about this item

    Keywords

    Older workers; Unemployment; Job search; Longitudinal data; J64; J65; C23;
    All these keywords.

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J65 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment Insurance; Severance Pay; Plant Closings
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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