Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/bsl/wpaper/2013-12.html
   My bibliography  Save this paper

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

Author

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

    (University of Basel)

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

  • Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The effect of firms' partial retirement policies on the labour market outcomes of their employees," Working papers 2013/12, Faculty of Business and Economics - University of Basel.
    • Handle: RePEc:bsl:wpaper:2013/12
    as

    Download full text from publisher

    File URL: https://edoc.unibas.ch/61344/1/20180306085929_5a9e4a611ce49.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Even, William E. & Macpherson, David A., 2004. "Do Pensions Impede Phased Retirement?," IZA Discussion Papers 1353, Institute of Labor Economics (IZA).
    4. Steven Haider & David Loughran, 2001. "Elderly Labor Supply: Work or Play?," Working Papers 01-09, RAND Corporation.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Hutchens, Robert, 2010. "Worker characteristics, job characteristics, and opportunities for phased retirement," Labour Economics, Elsevier, vol. 17(6), pages 1010-1021, December.
    11. JAMES G. MacKINNON, 2006. "Bootstrap Methods in Econometrics," The Economic Record, The Economic Society of Australia, vol. 82(s1), pages 2-18, September.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Ruhm, Christopher J, 1990. "Bridge Jobs and Partial Retirement," Journal of Labor Economics, University of Chicago Press, vol. 8(4), pages 482-501, October.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. Steven Haider & David S Loughran, 2001. "Elderly Labor Supply Work or Play?," Working Papers DRU-2582, RAND Corporation.
    24. 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.
    25. 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.
    26. Michael Hurd & Kathleen McGarry, 1993. "The Relationship Between Job Characteristics and Retirement," NBER Working Papers 4558, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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).
    4. 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.
    5. 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.
    6. 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].
    7. 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.
    8. Songül Tolan, 2015. "Die Flexibilisierung des Rentenübergangs in Deutschland," DIW Roundup: Politik im Fokus 82, DIW Berlin, German Institute for Economic Research.
    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. repec:iab:iabfme:201808(en is not listed on IDEAS

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2015. "Workplace health promotion and labour market performance of employees," Journal of Health Economics, Elsevier, vol. 43(C), pages 170-189.
    2. Martin Huber & Michael Lechner & Giovanni Mellace, 2017. "Why Do Tougher Caseworkers Increase Employment? The Role of Program Assignment as a Causal Mechanism," The Review of Economics and Statistics, MIT Press, vol. 99(1), pages 180-183, March.
    3. Andrea Albanese & Bart Cockx & Yannick Thuy, 2020. "Working time reductions at the end of the career: Do they prolong the time spent in employment?," Empirical Economics, Springer, vol. 59(1), pages 99-141, July.
    4. Martin Huber & Michael Lechner & Andreas Steinmayr, 2015. "Radius matching on the propensity score with bias adjustment: tuning parameters and finite sample behaviour," Empirical Economics, Springer, vol. 49(1), pages 1-31, August.
    5. 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.
    6. 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.
    7. Tim Pawlowski & Ute Schüttoff & Paul Downward & Michael Lechner, 2018. "Can Sport Really Help to Meet the Millennium Development Goals? Evidence From Children in Peru," Journal of Sports Economics, , vol. 19(4), pages 498-521, May.
    8. Marco Caliendo & Steffen Künn, 2015. "Getting back into the labor market: the effects of start-up subsidies for unemployed females," Journal of Population Economics, Springer;European Society for Population Economics, vol. 28(4), pages 1005-1043, October.
    9. Lechner, Michael, 2008. "Long-Run Labour Market Effects of Individual Sports Activities," IZA Discussion Papers 3559, Institute of Labor Economics (IZA).
    10. Martin Huber & Michael Lechner & Anthony Strittmatter, 2018. "Direct and indirect effects of training vouchers for the unemployed," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(2), pages 441-463, February.
    11. Lechner, Michael, 2009. "Long-run labour market and health effects of individual sports activities," Journal of Health Economics, Elsevier, vol. 28(4), pages 839-854, July.
    12. Pawlowski, Tim & Schüttoff, Ute & Downward, Paul & Lechner, Michael, 2014. "Children’s skill formation in less developed countries – The impact of sports participation," Economics Working Paper Series 1412, University of St. Gallen, School of Economics and Political Science.
    13. 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.
    14. Caliendo, Marco & Mahlstedt, Robert & Mitnik, Oscar A., 2017. "Unobservable, but unimportant? The relevance of usually unobserved variables for the evaluation of labor market policies," Labour Economics, Elsevier, vol. 46(C), pages 14-25.
    15. Behncke, Stefanie & Frölich, Markus & Lechner, Michael, 2008. "A Caseworker Like Me: Does the Similarity between Unemployed and Caseworker Increase Job Placements?," IZA Discussion Papers 3437, Institute of Labor Economics (IZA).
    16. Goller, Daniel & Lechner, Michael & Moczall, Andreas & Wolff, Joachim, 2020. "Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germany's programmes for long term unemployed," Labour Economics, Elsevier, vol. 65(C).
    17. Ferman, Bruno, 2021. "Matching estimators with few treated and many control observations," Journal of Econometrics, Elsevier, vol. 225(2), pages 295-307.
    18. Hugo Bodory & Lorenzo Camponovo & Martin Huber & Michael Lechner, 2020. "The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(1), pages 183-200, January.
    19. Seonho Shin, 2022. "Evaluating the Effect of the Matching Grant Program for Refugees: An Observational Study Using Matching, Weighting, and the Mantel-Haenszel Test," Journal of Labor Research, Springer, vol. 43(1), pages 103-133, March.
    20. Ulf Rinne & Arne Uhlendorff & Zhong Zhao, 2013. "Vouchers and caseworkers in training programs for the unemployed," Empirical Economics, Springer, vol. 45(3), pages 1089-1127, December.

    More about this item

    Keywords

    part-time work; elderly employees; treatment effects; matching;
    All these keywords.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bsl:wpaper:2013/12. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: WWZ (email available below). General contact details of provider: https://edirc.repec.org/data/wwzbsch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.