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The effect of firms' partial retirement policies on the labour market outcomes of their employees

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  • Wunsch, Conny
  • Huber, Martin
  • Lechner, Michael

Abstract

In this paper, we assess the impact of firms introducing part-time work schemes for gradual labour market exit of elderly workers on their employees labour market outcomes. The analysis is based on unique linked employer-employee data that combine high-quality survey and administrative data. Our results suggest that partial or gradual retirement options offered by firms are an important tool to alleviate the negative effects of low labour market attachment of elderly workers in ageing societies.

Suggested Citation

  • Wunsch, Conny & Huber, Martin & Lechner, Michael, 2014. "The effect of firms' partial retirement policies on the labour market outcomes of their employees," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100355, Verein für Socialpolitik / German Economic Association.
    • Handle: RePEc:zbw:vfsc14:100355
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    References listed on IDEAS

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    1. Hutchens, Robert, 2010. "Worker characteristics, job characteristics, and opportunities for phased retirement," Labour Economics, Elsevier, vol. 17(6), pages 1010-1021, December.
    2. Martin Biewen & Bernd Fitzenberger & Aderonke Osikominu & Marie Paul, 2014. "The Effectiveness of Public-Sponsored Training Revisited: The Importance of Data and Methodological Choices," Journal of Labor Economics, University of Chicago Press, vol. 32(4), pages 837-897.
    3. C Machado & Miguel Portela, 2014. "Hours of work and retirement behaviour," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-22, December.
    4. Martin Huber & Michael Lechner & Conny Wunsch, 2011. "Does leaving welfare improve health? Evidence for Germany," Health Economics, John Wiley & Sons, Ltd., vol. 20(4), pages 484-504, April.
    5. Even, William E. & Macpherson, David A., 2004. "Do Pensions Impede Phased Retirement?," IZA Discussion Papers 1353, Institute of Labor Economics (IZA).
    6. Steven Haider & David Loughran, 2001. "Elderly Labor Supply: Work or Play?," Working Papers 01-09, RAND Corporation.
    7. Lechner, Michael & Wunsch, Conny, 2013. "Sensitivity of matching-based program evaluations to the availability of control variables," Labour Economics, Elsevier, vol. 21(C), pages 111-121.
    8. Alan L. Gustman & Thomas L. Steinmeier, 1984. "Partial Retirement and the Analysis of Retirement Behavior," ILR Review, Cornell University, ILR School, vol. 37(3), pages 403-415, April.
    9. Steven Haider & David S Loughran, 2001. "Elderly Labor Supply Work or Play?," Working Papers DRU-2582, RAND Corporation.
    10. Michael Lechner & Ruth Miquel & Conny Wunsch, 2011. "Long‐Run Effects Of Public Sector Sponsored Training In West Germany," Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 742-784, August.
    11. Michael Hurd & Kathleen McGarry, 1993. "The Relationship Between Job Characteristics and Retirement," NBER Working Papers 4558, National Bureau of Economic Research, Inc.
    12. Christina Robinson & Robert Clark, 2010. "Retiree Health Insurance and Disengagement from a Career Job," Journal of Labor Research, Springer, vol. 31(3), pages 247-262, September.
    13. Katherine G. Abraham & Susan N. Houseman, 2005. "Work and Retirement Plans among Older Americans," Book chapters authored by Upjohn Institute researchers, in: Robert L. Clark & Olivia S. Mitchell (ed.),Reinventing the Retirement Paradigm, pages 70-91, W.E. Upjohn Institute for Employment Research.
    14. Conny Wunsch, 2013. "Optimal Use of Labor Market Policies: The Role of Job Search Assistance," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 1030-1045, July.
    15. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    16. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
    17. Alberto Abadie & Guido W. Imbens, 2008. "On the Failure of the Bootstrap for Matching Estimators," Econometrica, Econometric Society, vol. 76(6), pages 1537-1557, November.
    18. JAMES G. MacKINNON, 2006. "Bootstrap Methods in Econometrics," The Economic Record, The Economic Society of Australia, vol. 82(s1), pages 2-18, September.
    19. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    20. Robert Hutchens & Karen Grace-Martin, 2006. "Employer Willingness to Permit Phased Retirement: Why are Some More Willing Than others?," ILR Review, Cornell University, ILR School, vol. 59(4), pages 525-546, July.
    21. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    22. Robert Drago & Mark Wooden & David Black, 2009. "Who Wants and Gets Flexibility? Changing Work Hours Preferences and Life Events," ILR Review, Cornell University, ILR School, vol. 62(3), pages 394-414, April.
    23. Ruhm, Christopher J, 1990. "Bridge Jobs and Partial Retirement," Journal of Labor Economics, University of Chicago Press, vol. 8(4), pages 482-501, October.
    24. Marjorie Honig & Giora Hanoch, 1985. "Partial Retirement as a Separate Mode of Retirement Behavior," Journal of Human Resources, University of Wisconsin Press, vol. 20(1), pages 21-46.
    25. Joffe, Marshall M. & Ten Have, Thomas R. & Feldman, Harold I. & Kimmel, Stephen E., 2004. "Model Selection, Confounder Control, and Marginal Structural Models: Review and New Applications," The American Statistician, American Statistical Association, vol. 58, pages 272-279, November.
    26. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
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    Cited by:

    1. Börsch-Supan, A. & Härtl, K. & Leite, D.N., 2016. "Social Security and Public Insurance," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 781-863, Elsevier.
    2. Carmen Camacho & Fabio Mariani & Luca Pensieroso, 2017. "Illegal immigration and the shadow economy," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(6), pages 1050-1080, December.
    3. Lorenz, Svenja & Pfister, Mona & Zwick, Thomas, 2018. "Identification of the statutory retirement dates in the Sample of Integrated Labour Market Biographies (SIAB)," FDZ Methodenreport 201808_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. Börsch-Supan, Axel & Härtl, Klaus & Leite, Duarte & Ludwig, Alexander, 2018. "Endogenous retirement behavior of heterogeneous households under pension reforms," SAFE Working Paper Series 221, Leibniz Institute for Financial Research SAFE.
    5. Berg, Peter B. & Hamman, Mary K. & Piszczek, Matthew & Ruhm, Christopher J., 2015. "Can Policy Facilitate Partial Retirement? Evidence from Germany," IZA Discussion Papers 9266, Institute of Labor Economics (IZA).
    6. Muriel Dejemeppe & Catherine Smith & Bruno der Linden, 2015. "Did the Intergenerational Solidarity Pact increase the employment rate of older workers in Belgium? A macro-econometric evaluation," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-23, December.
    7. Börsch-Supan, Axel & Härtl, Klaus & Leite, Duarte N., 2018. "Earnings test, non-actuarial adjustments and flexible retirement," Economics Letters, Elsevier, vol. 173(C), pages 78-83.
    8. repec:iab:iabfme:201808(en is not listed on IDEAS
    9. Börsch-Supan, Axel & Bucher-Koenen, Tabea & Kluth, Sebastian & Haupt, Marlene & Goll, Nicolas, 2015. "Vor- und Nachteile höherer Flexibilität als Instrument zur Erhöhung der Beschäftigung Älterer," MEA discussion paper series 201506, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    10. Songül Tolan, 2015. "Die Flexibilisierung des Rentenübergangs in Deutschland," DIW Roundup: Politik im Fokus 82, DIW Berlin, German Institute for Economic Research.

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    More about this item

    JEL classification:

    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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