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The Impact of New Drug Launches on Life-Years Lost in 2015 from 19 Types of Cancer in 36 Countries

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  • Frank R. Lichtenberg

Abstract

This study employs a two-way fixed effects research design to measure the mortality impact and cost-effectiveness of cancer drugs: it analyzes the correlation across 36 countries between relative mortality from 19 types of cancer in 2015 and the relative number of drugs previously launched in that country to treat that type of cancer, controlling for relative incidence. One additional drug for a cancer site launched during 2006-2010 is estimated to have reduced the number of 2015 disability-adjusted life years (DALYs) lost due to cancer at that site by 5.8%. The estimated cost per life-year gained at all ages in 2015 from cancer drugs launched during 2006-2010 is $1635. We estimate that drugs launched during the entire 1982-2010 period reduced the number of cancer DALYs lost in 2015 by about 23%. In the absence of new drug launches during 1982-2010, there would have been 26.3 million additional DALYs lost in 2015.

Suggested Citation

  • Frank R. Lichtenberg, 2018. "The Impact of New Drug Launches on Life-Years Lost in 2015 from 19 Types of Cancer in 36 Countries," NBER Working Papers 24536, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:24536
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    1. Patricia M. Danzon & Y. Richard Wang & Liang Wang, 2005. "The impact of price regulation on the launch delay of new drugs—evidence from twenty‐five major markets in the 1990s," Health Economics, John Wiley & Sons, Ltd., vol. 14(3), pages 269-292, March.
    2. Charles I. Jones, 2002. "Sources of U.S. Economic Growth in a World of Ideas," American Economic Review, American Economic Association, vol. 92(1), pages 220-239, March.
    3. David Cutler & Angus Deaton & Adriana Lleras-Muney, 2006. "The Determinants of Mortality," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 97-120, Summer.
    4. Daron Acemoglu & Joshua Linn, 2004. "Market Size in Innovation: Theory and Evidence from the Pharmaceutical Industry," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(3), pages 1049-1090.
    5. Mark Bils, 2004. "Measuring the Growth from Better and Better Goods," NBER Working Papers 10606, National Bureau of Economic Research, Inc.
    6. Hercowitz, Zvi, 1998. "The 'embodiment' controversy: A review essay," Journal of Monetary Economics, Elsevier, vol. 41(1), pages 217-224, February.
    7. Somaini Paulo & Wolak Frank A., 2016. "An Algorithm to Estimate the Two-Way Fixed Effects Model," Journal of Econometric Methods, De Gruyter, vol. 5(1), pages 143-152, January.
    8. Lichtenberg Frank R., 2017. "The Impact of Pharmaceutical Innovation on Cancer Mortality in Belgium, 2004–2012," Forum for Health Economics & Policy, De Gruyter, vol. 20(1), pages 1-28, June.
    9. Frank R. Lichtenberg, 2017. "The impact of pharmaceutical innovation on cancer mortality in Mexico, 2003–2013," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 26(1), pages 1-22, December.
    10. Kevin M. Murphy & Robert H. Topel, 2006. "The Value of Health and Longevity," Journal of Political Economy, University of Chicago Press, vol. 114(5), pages 871-904, October.
    11. 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.
    12. William D. Nordhaus, 2005. "Irving Fisher and the Contribution of Improved Longevity to Living Standards," American Journal of Economics and Sociology, Wiley Blackwell, vol. 64(1), pages 367-392, January.
    13. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    14. Jovanovic, Boyan & Yatsenko, Yuri, 2012. "Investment in vintage capital," Journal of Economic Theory, Elsevier, vol. 147(2), pages 551-569.
    15. Oecd, 1998. "Content as a New Growth Industry," OECD Digital Economy Papers 37, OECD Publishing.
    16. Frank R. Lichtenberg, 2014. "The Impact of Pharmaceutical Innovation on Disability Days and the Use of Medical Services in the United States, 1997-2010," Journal of Human Capital, University of Chicago Press, vol. 8(4), pages 432-480.
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    Cited by:

    1. Jeon, Sung-Hee & Pohl, R. Vincent, 2019. "Medical innovation, education, and labor market outcomes of cancer patients," Journal of Health Economics, Elsevier, vol. 68(C).
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    3. Lichtenberg Frank R., 2018. "The Impact of New Drug Launches on Hospitalization in 2015 for 67 Medical Conditions in 15 OECD Countries: A Two-Way Fixed-Effects Analysis," Forum for Health Economics & Policy, De Gruyter, vol. 21(2), pages 1-20, December.
    4. Rebecca McKibbin & Bruce A. Weinberg, 2021. "Does Research Save Lives? The Local Spillovers of Biomedical Research on Mortality," NBER Working Papers 29420, National Bureau of Economic Research, Inc.

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    More about this item

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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