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Long-term employment effects of surviving cancer

  • Moran, John R.
  • Short, Pamela Farley
  • Hollenbeak, Christopher S.
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    We compare employment and usual hours of work for prime-age cancer survivors from the Penn State Cancer Survivor Survey to a comparison group drawn from the Panel Study of Income Dynamics using cross-sectional and difference-in-differences regression and matching estimators. Because earlier research has emphasized workers diagnosed at older ages, we focus on employment effects for younger workers. We find that as long as two to six years after diagnosis, cancer survivors have lower employment rates and work fewer hours than other similarly aged adults.

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    Article provided by Elsevier in its journal Journal of Health Economics.

    Volume (Year): 30 (2011)
    Issue (Month): 3 (May)
    Pages: 505-514

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    Handle: RePEc:eee:jhecon:v:30:y:2011:i:3:p:505-514
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    1. Cathy J. Bradley & Heather Bednarek & David Neumark, 2001. "Breast Cancer Survival, Work, and Earnings," NBER Working Papers 8134, National Bureau of Economic Research, Inc.
    2. Imbens, Guido & Abadie, Alberto, 2008. "On the Failure of the Bootstrap for Matching Estimators," Scholarly Articles 3043415, Harvard University Department of Economics.
    3. Ichino, Andrea & Mealli, Fabrizia & Nannicini, Tommaso, 2006. "From Temporary Help Jobs to Permanent Employment: What Can We Learn from Matching Estimators and their Sensitivity?," CEPR Discussion Papers 5736, C.E.P.R. Discussion Papers.
    4. Cathy Bradley & David Neumark & Heather Bednarek & Maryjean Schenk, 2004. "Short-term Effects of Breast Cancer on Labor Market Attachment: Results from a Longitudinal Study," PPIC Working Papers 2004.01, Public Policy Institute of California.
    5. Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 605-54, October.
    6. Heckman, James J. & Robb, Richard Jr., 1985. "Alternative methods for evaluating the impact of interventions : An overview," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 239-267.
    7. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," NBER Working Papers 6699, National Bureau of Economic Research, Inc.
    8. Tommaso Nannicini, 2006. "A Simulation-Based Sensitivity Analysis for Matching Estimators," North American Stata Users' Group Meetings 2006 6, Stata Users Group.
    9. Markus Frölich, 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.
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