IDEAS home Printed from https://ideas.repec.org/p/eti/dpaper/23067.html
   My bibliography  Save this paper

Does Free Cancer Screening Make a Difference? Evidence from the effects of a free-coupon program in Japan

Author

Listed:
  • ZHAO Meng (KONISHI Moe)

Abstract

Since the 1980s, cancer has been the leading cause of death in Japan. The substantial and long-term adverse effects on labor productivity and health expenditures make cancer control an important public health issue. To identify and treat cancer in its early stages, mass cancer screening for target populations is increasingly becoming a common practice. However, cancer screening rates remain low in many areas including Japan. In 2009, a free-coupon program was launched to provide free breast and uterine cancer screening to the target populations. The program further provided free coupons for colorectal cancer screening in 2011. Using rich data from the Comprehensive Survey of Living Conditions (CSLC) in Japan from 2004 to 2019, this study exploits the exogeneous variation in the incentive to receive cancer screening driven by the eligibility for the free-coupon program to analyze: (a) the effects of the program on screening rates and (b) the effects of cancer screening on the physical and mental health of individuals. Our results suggest that providing free coupons significantly increased the probability of attending breast and cervical cancer screenings by approximately 9-10% and that of colorectal cancer screening by approximately 5% for females and 2% for males. Moreover, although young women with low incomes seem to be more likely to use the free coupon for cervical cancer screening, the disadvantaged, such as those with more children and/or old family members in need of care, benefit less from the program. Lastly, we find that receiving cancer screenings could significantly improve individuals’ self-reported health status and reduce the probability of feeling mentally stressed.

Suggested Citation

  • ZHAO Meng (KONISHI Moe), 2023. "Does Free Cancer Screening Make a Difference? Evidence from the effects of a free-coupon program in Japan," Discussion papers 23067, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:23067
    as

    Download full text from publisher

    File URL: https://www.rieti.go.jp/jp/publications/dp/23e067.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David M. Cutler, 2008. "Are We Finally Winning the War on Cancer?," Journal of Economic Perspectives, American Economic Association, vol. 22(4), pages 3-26, Fall.
    2. Liran Einav & Amy Finkelstein & Tamar Oostrom & Abigail Ostriker & Heidi Williams, 2020. "Screening and Selection: The Case of Mammograms," American Economic Review, American Economic Association, vol. 110(12), pages 3836-3870, December.
    3. Kim, Hyuncheol Bryant & Lee, Sun-mi, 2017. "When public health intervention is not successful: Cost sharing, crowd-out, and selection in Korea's National Cancer Screening Program," Journal of Health Economics, Elsevier, vol. 53(C), pages 100-116.
    4. Hiroshi Sano & Rei Goto & Chisato Hamashima, 2017. "Does lack of resources impair access to breast and cervical cancer screening in Japan?," Discussion Papers CRR Discussion Paper Series A: General 27, Shiga University, Faculty of Economics,Center for Risk Research.
    Full references (including those not matched with items on IDEAS)

    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. Marianne P. Bitler & Christopher S. Carpenter & Danea Horn, 2021. "Effects of the Colorectal Cancer Control Program," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2667-2685, November.
    2. Abbasi, Ali & DiTraglia, Francis J. & Gazze, Ludovica & Pals, Bridget, 2023. "Hidden hazards and screening policy: Predicting undetected lead exposure in Illinois," Journal of Health Economics, Elsevier, vol. 90(C).
    3. Hwang, Jisoo & Hwang, Seung-sik & Kim, Hyuncheol Bryant & Lee, Jungmin & Lee, Junseok, 2023. "Risk Compensation after COVID-19 Vaccination," IZA Discussion Papers 16053, Institute of Labor Economics (IZA).
    4. Norman Bannenberg & Oddvar Førland & Tor Iversen & Martin Karlsson & Henning Øien, 2021. "Preventive Home Visits," American Journal of Health Economics, University of Chicago Press, vol. 7(4), pages 457-496.
    5. Jisoo Hwang & Seung‐sik Hwang & Hyuncheol Bryant Kim & Jungmin Lee & Junseok Lee, 2024. "Risk compensation after COVID‐19 vaccination: Evidence from vaccine rollout by exact birth date in South Korea," Health Economics, John Wiley & Sons, Ltd., vol. 33(8), pages 1811-1830, August.
    6. Guthmuller, Sophie & Carrieri, Vincenzo & Wübker, Ansgar, 2023. "Effects of organized screening programs on breast cancer screening, incidence, and mortality in Europe," Journal of Health Economics, Elsevier, vol. 92(C).
    7. Persson, Petra & Qiu, Xinyao & Rossin-Slater, Maya, 2021. "Family Spillover Effects of Marginal Diagnoses: The Case of ADHD," IZA Discussion Papers 14020, Institute of Labor Economics (IZA).
    8. Joseph P. Newhouse, 2021. "An Ounce of Prevention," Journal of Economic Perspectives, American Economic Association, vol. 35(2), pages 101-118, Spring.
    9. David Laibson, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 443-478.
    10. Thomas Barnay & Mohamed Ali Ben Halima & Emmanuel Duguet & Christine Le Clainche & Camille Regaert, 2016. "The effects of breast cancer on individual labour market outcomes: an evaluation from an administrative panel," TEPP Working Paper 2016-05, TEPP.
    11. Thomas Barnay & Emmanuel Duguet & Christine Le Clainche, 2019. "The Effects of Breast Cancer on Individual Labour Market Outcomes: An Evaluation from an Administrative Panel in France," Annals of Economics and Statistics, GENES, issue 136, pages 103-126.
    12. Howdon, Daniel & Jones, Andrew M., 2015. "A discrete latent factor model for smoking, cancer and mortality," Economics & Human Biology, Elsevier, vol. 18(C), pages 57-73.
    13. J.-Matthias Schulenburg & Martin Frank, 2015. "Rare is frequent and frequent is costly: rare diseases as a challenge for health care systems," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(2), pages 113-118, March.
    14. Robert Rosenman, 2011. "The public finance of healthy behavior," Public Choice, Springer, vol. 147(1), pages 173-188, April.
    15. Cutler, David M. & Lange, Fabian & Meara, Ellen & Richards-Shubik, Seth & Ruhm, Christopher J., 2011. "Rising educational gradients in mortality: The role of behavioral risk factors," Journal of Health Economics, Elsevier, vol. 30(6), pages 1174-1187.
    16. David M. Cutler & Fabian Lange & Ellen Meara & Seth Richards & Christopher J. Ruhm, 2010. "Explaining the Rise in Educational Gradients in Mortality," NBER Working Papers 15678, National Bureau of Economic Research, Inc.
    17. Thomas C. Buchmueller & Léontine Goldzahl, 2018. "The Effect of Organized Breast Cancer Screening on Mammography Use: Evidence from France," NBER Working Papers 24316, National Bureau of Economic Research, Inc.
    18. Nicodemo, Catia & Nicoletti, Cheti & Vidiella-Martin, Joaquim, 2024. "Starting School and ADHD: When Is It Time to Fly the Nest?," IZA Discussion Papers 17091, Institute of Labor Economics (IZA).
    19. Avdic, Daniel & Lundborg, Petter & Vikström, Johan, 2014. "Learning-by-Doing in a Highly Skilled Profession when Stakes are High: Evidence from Advanced Cancer Surgery," Working Paper Series, Center for Labor Studies 2014:9, Uppsala University, Department of Economics.
    20. Patrick Opoku Asuming & Hyuncheol Bryant Kim & Armand Sim, 2024. "Selection and behavioral responses of health insurance subsidies in the long run: Evidence from a field experiment in Ghana," Health Economics, John Wiley & Sons, Ltd., vol. 33(5), pages 992-1032, May.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:eti:dpaper:23067. 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: TANIMOTO, Toko (email available below). General contact details of provider: https://edirc.repec.org/data/rietijp.html .

    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.