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Medical Innovation, Education, and Labor Market Outcomes of Cancer Patients

Author

Listed:
  • Sung-Hee Jeon

    (Statistics Canada)

  • Vincent Pohl

    (University of Georgia)

Abstract
Innovations in cancer treatment have lowered mortality, but little is known about their economic benefits. We assess the effect of two decades of improvements in cancer treatment options on the labor market outcomes of breast and prostate cancer patients. In addition, we compare this effect across cancer patients with different levels of educational attainment. We estimate the effect of medical innovation on cancer patients’ labor market outcomes employing tax return and cancer registry data from Canada and measuring medical innovation by using the number of approved drugs and a quality-adjusted patent index. While cancer patients are less likely to work after their diagnosis, we find that the innovations in cancer treatment during the 1990s and 2000s reduced the negative employment effects of cancer by 63–70 percent. These benefits of medical innovation are limited to cancer patients with postsecondary education, raising concerns about unequal access to improved treatment options.

Suggested Citation

  • Sung-Hee Jeon & Vincent Pohl, 2019. "Medical Innovation, Education, and Labor Market Outcomes of Cancer Patients," Upjohn Working Papers 19-306, W.E. Upjohn Institute for Employment Research.
    • Handle: RePEc:upj:weupjo:19-306
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    as
    1. Frank R. Lichtenberg, 2014. "Has Medical Innovation Reduced Cancer Mortality?," CESifo Economic Studies, CESifo Group, vol. 60(1), pages 135-177.
    2. repec:adr:anecst:y:2005:i:79-80:p:25 is not listed on IDEAS
    3. 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.
    4. Harsha Thirumurthy & Joshua Graff Zivin & Markus Goldstein, 2008. "The Economic Impact of AIDS Treatment: Labor Supply in Western Kenya," Journal of Human Resources, University of Wisconsin Press, vol. 43(3), pages 511-552.
    5. Frank R. Lichtenberg, 2019. "The long-run impact of new medical ideas on cancer survival and mortality," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 28(7), pages 722-740, October.
    6. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
    7. Claudia Goldin & Lawrence F. Katz, 2002. "The Power of the Pill: Oral Contraceptives and Women's Career and Marriage Decisions," Journal of Political Economy, University of Chicago Press, vol. 110(4), pages 730-770, August.
    8. Cathy J. Bradley & David Neumark & Zhehui Luo & Heather L. Bednarek, 2007. "Employment‐contingent health insurance, illness, and labor supply of women: evidence from married women with breast cancer," Health Economics, John Wiley & Sons, Ltd., vol. 16(7), pages 719-737, July.
    9. Jeon, Sung-Hee & Pohl, R. Vincent, 2017. "Health and work in the family: Evidence from spouses’ cancer diagnoses," Journal of Health Economics, Elsevier, vol. 52(C), pages 1-18.
    10. Sherry Glied & Adriana Lleras-Muney, 2008. "Technological innovation and inequality in health," Demography, Springer;Population Association of America (PAA), vol. 45(3), pages 741-761, August.
    11. Lichtenberg, Frank R., 2018. "The Impact Of New Drug Launches On Life-Years Lost In 2015 From 19 Types Of Cancer In 36 Countries," Journal of Demographic Economics, Cambridge University Press, vol. 84(3), pages 309-354, September.
    12. Meltem Daysal, N. & Orsini, C., 2012. "The Miracle Drug : Hormone Replacement Therapy and Labor Market Behavior of Middle-Aged Women," Other publications TiSEM ce29046c-47bf-4f33-87af-3, Tilburg University, School of Economics and Management.
    13. Petter Lundborg & Martin Nilsson & Johan Vikström, 2015. "Heterogeneity in the impact of health shocks on labour outcomes: evidence from Swedish workers," Oxford Economic Papers, Oxford University Press, vol. 67(3), pages 715-739.
    14. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2011. "Multivariate Matching Methods That Are Monotonic Imbalance Bounding," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 345-361.
    15. Titus J Galama & Hans van Kippersluis, 2019. "A Theory of Socio-economic Disparities in Health over the Life Cycle," The Economic Journal, Royal Economic Society, vol. 129(617), pages 338-374.
    16. 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.
    17. Adriana Lleras-Muney & Frank R. Lichtenberg, 2010. "Are the More Educated More Likely to Use New Drugs?," NBER Chapters, in: Contributions in Memory of Zvi Griliches, pages 671-696, National Bureau of Economic Research, Inc.
    18. Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2001. "The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools," NBER Working Papers 8498, National Bureau of Economic Research, Inc.
    19. Carlos Dobkin & Amy Finkelstein & Raymond Kluender & Matthew J. Notowidigdo, 2018. "The Economic Consequences of Hospital Admissions," American Economic Review, American Economic Association, vol. 108(2), pages 308-352, February.
    20. W. David Bradford & John L. Turner & Jonathan W. Williams, 2018. "Off‐Label Use of Pharmaceuticals: A Detection Controlled Estimation Approach," Journal of Industrial Economics, Wiley Blackwell, vol. 66(4), pages 866-903, December.
    21. Lange, Fabian, 2011. "The role of education in complex health decisions: Evidence from cancer screening," Journal of Health Economics, Elsevier, vol. 30(1), pages 43-54, January.
    22. Aline Bütikofer & Meghan M. Skira, 2018. "Missing Work Is a Pain: The Effect of Cox-2 Inhibitors on Sickness Absence and Disability Pension Receipt," Journal of Human Resources, University of Wisconsin Press, vol. 53(1), pages 71-122.
    23. Francisco Parro & R. Vincent Pohl, 2018. "Health Shocks, Human Capital, and Labor Market Outcomes," Upjohn Working Papers 18-290, W.E. Upjohn Institute for Employment Research.
    24. Bradley, Cathy J. & Bednarek, Heather L. & Neumark, David, 2002. "Breast cancer survival, work, and earnings," Journal of Health Economics, Elsevier, vol. 21(5), pages 757-779, September.
    25. 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.
    26. 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.
    27. Yang Meng & Nadine Hertel & John Ellis & Edith Morais & Helen Johnson & Zoe Philips & Neil Roskell & Andrew Walker & Dawn Lee, 2018. "The cost-effectiveness of nivolumab monotherapy for the treatment of advanced melanoma patients in England," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1163-1172, November.
    28. Frank Lichtenberg, 2015. "The impact of pharmaceutical innovation on premature cancer mortality in Canada, 2000–2011," International Journal of Health Economics and Management, Springer, vol. 15(3), pages 339-359, September.
    29. Nicholas W. Papageorge, 2016. "Why medical innovation is valuable: Health, human capital, and the labor market," Quantitative Economics, Econometric Society, vol. 7(3), pages 671-725, November.
    30. Craig L. Garthwaite, 2012. "The Economic Benefits of Pharmaceutical Innovations: The Case of Cox-2 Inhibitors," American Economic Journal: Applied Economics, American Economic Association, vol. 4(3), pages 116-137, July.
    31. Bütikofer, Aline & Cronin, Christopher J. & Skira, Meghan M., 2020. "Employment effects of healthcare policy: Evidence from the 2007 FDA black box warning on antidepressants," Journal of Health Economics, Elsevier, vol. 73(C).
    32. 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.
    33. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    34. Frank R. Lichtenberg, 2017. "The Impact of Public and Private Research Support on Premature Cancer Mortality and Hospitalization in the U.S., 1999-2013," NBER Working Papers 23241, National Bureau of Economic Research, Inc.
    35. Martha J. Bailey, 2006. "More Power to the Pill: The Impact of Contraceptive Freedom on Women's Life Cycle Labor Supply," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(1), pages 289-320.
    36. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2012. "Causal Inference without Balance Checking: Coarsened Exact Matching," Political Analysis, Cambridge University Press, vol. 20(1), pages 1-24, January.
    37. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, September.
    38. Jean O. Lanjouw & Mark Schankerman, 2004. "Patent Quality and Research Productivity: Measuring Innovation with Multiple Indicators," Economic Journal, Royal Economic Society, vol. 114(495), pages 441-465, April.
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    Cited by:

    1. Angelini, Viola & Costa-Font, Joan, 2023. "Health and wellbeing spillovers of a partner's cancer diagnosis," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 422-437.
    2. Francisco Parro & R. Vincent Pohl, 2021. "The effect of accidents on labor market outcomes: Evidence from Chile," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1015-1032, May.
    3. Bütikofer, Aline & Cronin, Christopher J. & Skira, Meghan M., 2020. "Employment effects of healthcare policy: Evidence from the 2007 FDA black box warning on antidepressants," Journal of Health Economics, Elsevier, vol. 73(C).

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    More about this item

    Keywords

    medical innovation; breast cancer; prostate cancer; labor supply; employment; earnings; returns to education;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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