IDEAS home Printed from https://ideas.repec.org/a/eee/ehbiol/v18y2015icp74-84.html
   My bibliography  Save this article

The effects of cancer on older workers in the English labour market

Author

Listed:
  • Candon, David

Abstract

The continued rise in overall cancer survival rates has ignited a field of research which examines the effect that cancer has on survivors’ employment. Previous estimates of the effect of cancer on labour market outcomes, using U.S. data, show significant reductions in employment in the first 6 months after diagnosis. However, this impact has been found to dissipate after 12 and 18 months. I use data from the English Longitudinal Study of Ageing and find that, in England, where there is a more generous welfare support system, not only does cancer have a negative impact in the first 6-month period following diagnosis, but also in the second 6-month period. I estimate that, in the second 6-month period after diagnosis, respondents with cancer are 12.2% points less likely to work and work 4.2 fewer hours a week when compared to matched, healthy controls. This suggests that the negative effects from cancer can persist for longer than the six months identified previously. These results have implications for government policy and employers, because it increases the length of time that survivors may be on government supported sick pay, and the expected time that workers will be absent from work due to illness.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ehbiol:v:18:y:2015:i:c:p:74-84
    DOI: 10.1016/j.ehb.2015.04.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1570677X15000337
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ehb.2015.04.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
    4. Bradley, Cathy J. & Neumark, David & Bednarek, Heather L. & Schenk, Maryjean, 2005. "Short-term effects of breast cancer on labor market attachment: results from a longitudinal study," Journal of Health Economics, Elsevier, vol. 24(1), pages 137-160, January.
    5. 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.
    6. 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.
    7. Tommaso Nannicini, 2007. "A simulation-based sensitivity for matching estimators," United Kingdom Stata Users' Group Meetings 2007 15, Stata Users Group.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    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. Eskil Heinesen & Christophe Kolodziejczyk & Jacob Ladenburg & Ingelise Andersen & Karsten Thielen, 2017. "Return to work after cancer and pre-cancer job dissatisfaction," Applied Economics, Taylor & Francis Journals, vol. 49(49), pages 4982-4998, October.
    2. Gao, Ni & Ryan, Mandy & Krucien, Nicolas & Robinson, Suzanne & Norman, Richard, 2020. "Paid work, household work, or leisure? Time allocation pathways among women following a cancer diagnosis," Social Science & Medicine, Elsevier, vol. 246(C).
    3. 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.
    4. Candon, David, 2018. "The effect of cancer on the labor supply of employed men over the age of 65," Economics & Human Biology, Elsevier, vol. 31(C), pages 184-199.
    5. Zheng Shen & Xiaodong Zheng & Yiwen Tan, 2019. "The Spillover Effects of Spousal Chronic Diseases on Married Couples’ Labour Supply: Evidence from China," IJERPH, MDPI, vol. 16(21), pages 1-18, October.
    6. Heinesen, Eskil & Imai, Susumu & Maruyama, Shiko, 2018. "Employment, job skills and occupational mobility of cancer survivors," Journal of Health Economics, Elsevier, vol. 58(C), pages 151-175.
    7. Dawid Gondek & Ke Ning & George B Ploubidis & Bilal Nasim & Alissa Goodman, 2018. "The impact of health on economic and social outcomes in the United Kingdom: A scoping literature review," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-21, December.
    8. 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.

    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. Candon, David, 2018. "The effect of cancer on the labor supply of employed men over the age of 65," Economics & Human Biology, Elsevier, vol. 31(C), pages 184-199.
    2. 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.
    3. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    4. Michele Campolieti & Morley Gunderson & Jeffrey Smith, 2014. "The effect of vocational rehabilitation on the employment outcomes of disability insurance beneficiaries: new evidence from Canada," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-29, December.
    5. repec:zbw:rwirep:0426 is not listed on IDEAS
    6. Hendrik Schmitz & Matthias Westphal, 2013. "Short- and Medium-term Effects of Informal Care Provision on Health," Ruhr Economic Papers 0426, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    7. Schmitz, H. & Westphal, M., 2013. "Short- and medium-term effects of informal care provision on health," Health, Econometrics and Data Group (HEDG) Working Papers 13/23, HEDG, c/o Department of Economics, University of York.
    8. Borra, Cristina & Iacovou, Maria & Sevilla, Almudena, 2012. "The effect of breastfeeding on children's cognitive and noncognitive development," Labour Economics, Elsevier, vol. 19(4), pages 496-515.
    9. Schilling, Brian J. & Attavanich, Witsanu & Sullivan, Kevin P. & Marxen, Lucas J., 2014. "Measuring the effect of farmland preservation on farm profitability," MPRA Paper 100122, University Library of Munich, Germany, revised Jun 2014.
    10. Crinò, Rosario, 2012. "Imported inputs and skill upgrading," Labour Economics, Elsevier, vol. 19(6), pages 957-969.
    11. Erhardt, Eva Christine, 2017. "Microfinance beyond self-employment: Evidence for firms in Bulgaria," Labour Economics, Elsevier, vol. 47(C), pages 75-95.
    12. Paolo Naticchioni & Silvia Loriga, 2011. "Short and Long Term Evaluations of Public Employment Services in Italy," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 57(3), pages 201-229.
    13. Olivier Dagnelie & Philippe Lemay‐Boucher, 2012. "Rosca Participation in Benin: A Commitment Issue," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 235-252, April.
    14. Paul Attewell & David Monaghan, 2016. "How Many Credits Should an Undergraduate Take?," Research in Higher Education, Springer;Association for Institutional Research, vol. 57(6), pages 682-713, September.
    15. Flores, Carlos A. & Mitnik, Oscar A., 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," IZA Discussion Papers 4451, Institute of Labor Economics (IZA).
    16. 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.
    17. 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.
    18. 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.
    19. Corbacho, Ana & Philipp, Julia & Ruiz-Vega, Mauricio, 2015. "Crime and Erosion of Trust: Evidence for Latin America," World Development, Elsevier, vol. 70(C), pages 400-415.
    20. Christian Volpe Martincus & Jerónimo Carballo, 2010. "Entering new country and product markets: does export promotion help?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 146(3), pages 437-467, September.
    21. Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007. "Using State Administrative Data to Measure Program Performance," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 761-783, November.

    More about this item

    Keywords

    Labour market; Cancer; Employment; Hours worked;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

    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:eee:ehbiol:v:18:y:2015:i:c:p:74-84. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622964 .

    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.