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The Effect of Cancer on the Employment of Older Males: Attenuating Selection Bias using a High Risk Sample

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  • David Candon

    (University College Dublin)

Abstract

Estimating the unbiased effect of health shocks on employment is an important topic in both health and labour economics. This is particularly relevant to cancer, where improvements in screening and treatments have led to increases in survival for nearly all types of cancer. In order to address the issue of selection bias, I estimate the effect of cancer on employment for a high-risk cancer sample, male workers over the age of 65, thus attenuating the impact of many cancer risk factors. This identification strategy balances the covariates between the cancer and the non-cancer groups in numerous tests. Respondents who are diagnosed with cancer are 13.2 percentage points less likely to work than their non-cancer counterparts. The results also appear insensitive to omitted confounders.

Suggested Citation

  • David Candon, 2015. "The Effect of Cancer on the Employment of Older Males: Attenuating Selection Bias using a High Risk Sample," Working Papers 201507, School of Economics, University College Dublin.
  • Handle: RePEc:ucn:wpaper:201507
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    1. Bradley, Cathy J. & Neumark, David & Barkowski, Scott, 2013. "Does employer-provided health insurance constrain labor supply adjustments to health shocks? New evidence on women diagnosed with breast cancer," Journal of Health Economics, Elsevier, vol. 32(5), pages 833-849.
    2. David Neumark & Cathy J. Bradley & Miguel Henry & Bassam Dahman, 2015. "Work Continuation while Treated for Breast Cancer," ILR Review, Cornell University, ILR School, vol. 68(4), pages 916-954, August.
    3. James Smith, 2005. "Consequences and Predictors of New Health Events," NBER Chapters, in: Analyses in the Economics of Aging, pages 213-240, National Bureau of Economic Research, Inc.
    4. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    5. Robert W. Fairlie & Kanika Kapur & Susan Gates, 2016. "Job Lock: Evidence from a Regression Discontinuity Design," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 55(1), pages 92-121, January.
    6. Andrea Ichino & Fabrizia Mealli & Tommaso Nannicini, 2008. "From temporary help jobs to permanent employment: what can we learn from matching estimators and their sensitivity?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 305-327.
    7. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    8. Pilar García Gómez & Angel López Nicolás, 2006. "Health shocks, employment and income in the Spanish labour market," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 997-1009, September.
    9. Black, Dan A. & Smith, J.A.Jeffrey A., 2004. "How robust is the evidence on the effects of college quality? Evidence from matching," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 99-124.
    10. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
    11. Mark B. McClellan, 1998. "Health Events, Health Insurance, and Labor Supply: Evidence from the Health and Retirement Survey," NBER Chapters, in: Frontiers in the Economics of Aging, pages 301-350, National Bureau of Economic Research, Inc.
    12. Markus Frlich, 2004. "Finite-Sample Properties of Propensity-Score Matching and Weighting Estimators," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 77-90, February.
    13. Fairlie, Robert W. & Kapur, Kanika & Gates, Susan, 2011. "Is employer-based health insurance a barrier to entrepreneurship?," Journal of Health Economics, Elsevier, vol. 30(1), pages 146-162, January.
    14. Cathy Bradley & David Neumark & Meryl Motika, 2012. "The effects of health shocks on employment and health insurance: the role of employer-provided health insurance," International Journal of Health Economics and Management, Springer, vol. 12(4), pages 253-267, December.
    15. Trevisan, Elisabetta & Zantomio, Francesca, 2016. "The impact of acute health shocks on the labour supply of older workers: Evidence from sixteen European countries," Labour Economics, Elsevier, vol. 43(C), pages 171-185.
    16. Datta Gupta, Nabanita & Kleinjans, Kristin J. & Larsen, Mona, 2015. "The effect of a severe health shock on work behavior: Evidence from different health care regimes," Social Science & Medicine, Elsevier, vol. 136, pages 44-51.
    17. Thomas C. Buchmueller & Robert G. Valletta, 1996. "The Effects of Employer-Provided Health Insurance on Worker Mobility," ILR Review, Cornell University, ILR School, vol. 49(3), pages 439-455, April.
    18. Henry J. Aaron & Jean Marie Callan, 2011. "Who Retires Early?," Working Papers, Center for Retirement Research at Boston College wp2011-10, Center for Retirement Research, revised May 2011.
    19. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    20. 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.
    21. Sung‐Hee Jeon, 2017. "The Long‐Term Effects of Cancer on Employment and Earnings," Health Economics, John Wiley & Sons, Ltd., vol. 26(5), pages 671-684, May.
    22. García-Gómez, Pilar, 2011. "Institutions, health shocks and labour market outcomes across Europe," Journal of Health Economics, Elsevier, vol. 30(1), pages 200-213, January.
    23. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    24. Kanika Kapur, 1998. "The Impact of Health on Job Mobility: A Measure of Job Lock," ILR Review, Cornell University, ILR School, vol. 51(2), pages 282-298, January.
    25. Candon, David, 2015. "The effects of cancer on older workers in the English labour market," Economics & Human Biology, Elsevier, vol. 18(C), pages 74-84.
    26. Brigitte C. Madrian, 1994. "Employment-Based Health Insurance and Job Mobility: Is there Evidence of Job-Lock?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(1), pages 27-54.
    27. Guido W. Imbens, 2015. "Matching Methods in Practice: Three Examples," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 373-419.
    28. David A. Wise, 2005. "Analyses in the Economics of Aging," NBER Books, National Bureau of Economic Research, Inc, number wise05-1.
    29. Finkelstein, Amy, 2004. "The interaction of partial public insurance programs and residual private insurance markets: evidence from the US Medicare program," Journal of Health Economics, Elsevier, vol. 23(1), pages 1-24, January.
    30. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    31. 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.
    32. Pence Karen M., 2006. "The Role of Wealth Transformations: An Application to Estimating the Effect of Tax Incentives on Saving," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(1), pages 1-26, July.
    33. Martha J. Bailey & Brad Hershbein & Amalia R. Miller, 2012. "The Opt-In Revolution? Contraception and the Gender Gap in Wages," American Economic Journal: Applied Economics, American Economic Association, vol. 4(3), pages 225-254, July.
    34. Gary Solon & Steven J. Haider & Jeffrey M. Wooldridge, 2015. "What Are We Weighting For?," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 301-316.
    35. John Bound, 1991. "Self-Reported Versus Objective Measures of Health in Retirement Models," Journal of Human Resources, University of Wisconsin Press, vol. 26(1), pages 106-138.
    36. Kolodziejczyk, Christophe & Heinesen, Eskil, 2016. "Labour market participation after breast cancer for employees from the private and public sectors: Educational and sector gradients in the effect of cancer," Economics & Human Biology, Elsevier, vol. 21(C), pages 33-55.
    37. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    38. Heinesen, Eskil & Kolodziejczyk, Christophe, 2013. "Effects of breast and colorectal cancer on labour market outcomes—Average effects and educational gradients," Journal of Health Economics, Elsevier, vol. 32(6), pages 1028-1042.
    39. Steven Stern, 1989. "Measuring the Effect of Disability on Labor Force Participation," Journal of Human Resources, University of Wisconsin Press, vol. 24(3), pages 361-395.
    40. Pilar García-Gómez & Hans van Kippersluis & Owen O’Donnell & Eddy van Doorslaer, 2013. "Long-Term and Spillover Effects of Health Shocks on Employment and Income," Journal of Human Resources, University of Wisconsin Press, vol. 48(4), pages 873-909.
    41. Duggan, Mark & Singleton, Perry & Song, Jae, 2007. "Aching to retire? The rise in the full retirement age and its impact on the social security disability rolls," Journal of Public Economics, Elsevier, vol. 91(7-8), pages 1327-1350, August.
    42. Tommaso Nannicini, 2007. "A simulation-based sensitivity for matching estimators," United Kingdom Stata Users' Group Meetings 2007 15, Stata Users Group.
    43. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
    44. Kathryn H. Anderson & Richard V. Burkhauser, 1985. "The Retirement-Health Nexus: A New Measure of an Old Puzzle," Journal of Human Resources, University of Wisconsin Press, vol. 20(3), pages 315-330.
    45. Moran, John R. & Short, Pamela Farley & Hollenbeak, Christopher S., 2011. "Long-term employment effects of surviving cancer," Journal of Health Economics, Elsevier, vol. 30(3), pages 505-514, May.
    46. Courtney C. Coile, 2004. "Health Shocks and Couples' Labor Supply Decisions," NBER Working Papers 10810, National Bureau of Economic Research, Inc.
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    Cited by:

    1. David Candon, 2019. "The joint effect of health shocks and eligibility for social security on labor supply," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(7), pages 969-988, September.
    2. Zhao, Yuejun & Inder, Brett & Kim, Jun Sung, 2021. "Spousal bereavement and the cognitive health of older adults in the US: New insights on channels, single items, and subjective evidence," Economics & Human Biology, Elsevier, vol. 43(C).

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    More about this item

    Keywords

    Cancer; Employment; Labour market;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies

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