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Lassoing the Determinants of Retirement

  • Malene Kallestrup-Lamb

    ()

    (Aarhus University and CREATES)

  • Anders Bredahl Kock

    ()

    (Aarhus University and CREATES)

  • Johannes Tang Kristensen

    ()

    (Aarhus University and CREATES)

This paper uses Danish register data to explain the retirement decision of workers in 1990 and 1998.Many variables might be conjectured to influence this decision such as demographic, socio-economic, financially and health related variables as well as all the same factors for the spouse in case the individual is married. In total we have access to 399 individual specific variables that all could potentially impact the retirement decision.We use variants of the Lasso and the adaptive Lasso applied to logistic regression in order to uncover determinants of the retirement decision. To the best of our knowledge this is the first application of these estimators in microeconometrics to a problem of this type and scale. Furthermore, we investigate whether the factors influencing the retirement decision are stable over time, gender and marital status. It is found that this is the case for core variables such as age, income, wealth and general health. We also point out themost important differences between these groups and explain why these might be present.

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Paper provided by School of Economics and Management, University of Aarhus in its series CREATES Research Papers with number 2013-21.

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Length: 39
Date of creation: 06 2013
Date of revision:
Handle: RePEc:aah:create:2013-21
Contact details of provider: Web page: http://www.econ.au.dk/afn/

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  1. Arjan Heyma, 2004. "A structural dynamic analysis of retirement behaviour in the Netherlands," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(6), pages 739-759.
  2. Heij, Christiaan & de Boer, Paul & Franses, Philip Hans & Kloek, Teun & van Dijk, Herman K., 2004. "Econometric Methods with Applications in Business and Economics," OUP Catalogue, Oxford University Press, number 9780199268016.
  3. Pablo Antolín & Stefano Scarpetta, 1998. "Microeconometric Analysis of the Retirement Decision: Germany," OECD Economics Department Working Papers 204, OECD Publishing.
  4. Mark Y. An & Bent Jesper Christensen & Nabanita Datta Gupta, 2004. "Multivariate mixed proportional hazard modelling of the joint retirement of married couples," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(6), pages 687-704.
  5. Jerome H. Friedman & Trevor Hastie & Rob Tibshirani, . "Regularization Paths for Generalized Linear Models via Coordinate Descent," Journal of Statistical Software, American Statistical Association, vol. 33(i01).
  6. Zou, Hui, 2006. "The Adaptive Lasso and Its Oracle Properties," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1418-1429, December.
  7. Hugo Benitez-Silva & Moshe Buchinsky & Hiu Man Chan & Sofia Cheidvasser & John Rust, 2000. "How Large is the Bias in Self-Reported Disability?," Working Papers 2000-01, Brown University, Department of Economics.
  8. Hannes Leeb & Benedikt M. Poetscher, 2005. "Sparse Estimators and the Oracle Property, or the Return of Hodges' Estimator," Cowles Foundation Discussion Papers 1500, Cowles Foundation for Research in Economics, Yale University, revised Apr 2007.
  9. Bent Jesper Christensen & Malene Kallestrup Lamb, 2010. "The Impact of Health Changes on Labor Supply: Evidence from Merged Data on Individual Objective Medical Diagnosis Codes and Early Retirement Behavior," CREATES Research Papers 2010-62, School of Economics and Management, University of Aarhus.
  10. Michael Baker & Mark Stabile & Catherine Deri, 2001. "What do Self-Reported, Objective, Measures of Health Measure?," NBER Working Papers 8419, National Bureau of Economic Research, Inc.
  11. Fan J. & Li R., 2001. "Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1348-1360, December.
  12. Ebbinghaus, Bernhard, 2008. "Reforming Early Retirement in Europe, Japan and the USA," OUP Catalogue, Oxford University Press, number 9780199553396.
  13. Nabanita Datta Gupta & Mona Larsen, 2010. "The impact of health on individual retirement plans: self-reported versus diagnostic measures," Health Economics, John Wiley & Sons, Ltd., vol. 19(7), pages 792-813.
  14. Jianqing Fan & Jinchi Lv, 2008. "Sure independence screening for ultrahigh dimensional feature space," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(5), pages 849-911.
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