IDEAS home Printed from https://ideas.repec.org/a/aea/aecrev/v110y2020i12p3836-70.html
   My bibliography  Save this article

Screening and Selection: The Case of Mammograms

Author

Listed:
  • Liran Einav
  • Amy Finkelstein
  • Tamar Oostrom
  • Abigail Ostriker
  • Heidi Williams

Abstract

We analyze selection into screening in the context of recommendations that breast cancer screening start at age 40. Combining medical claims with a clinical oncology model, we document that compliers with the recommendation are less likely to have cancer than younger women who select into screening or women who never screen. We show this selection is quantitatively important: shifting the recommendation from age 40 to 45 results in three times as many deaths if compliers were randomly selected than under the estimated patterns of selection. The results highlight the importance of considering characteristics of compliers when making and designing recommendations.

Suggested Citation

  • 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.
  • Handle: RePEc:aea:aecrev:v:110:y:2020:i:12:p:3836-70
    DOI: 10.1257/aer.20191191
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/aer.20191191
    Download Restriction: no

    File URL: https://doi.org/10.3886/E120217V1
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/aer.20191191.appx
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/aer.20191191.ds
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.

    File URL: https://libkey.io/10.1257/aer.20191191?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Nicola Persico, 2009. "Racial Profiling? Detecting Bias Using Statistical Evidence," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 229-254, May.
    2. Shamena Anwar & Hanming Fang, 2006. "An Alternative Test of Racial Prejudice in Motor Vehicle Searches: Theory and Evidence," American Economic Review, American Economic Association, vol. 96(1), pages 127-151, March.
    3. Jason Abaluck & Leila Agha & Chris Kabrhel & Ali Raja & Arjun Venkatesh, 2016. "The Determinants of Productivity in Medical Testing: Intensity and Allocation of Care," American Economic Review, American Economic Association, vol. 106(12), pages 3730-3764, December.
    4. Kadiyala Srikanth & Strumpf Erin, 2016. "How Effective is Population-Based Cancer Screening? Regression Discontinuity Estimates from the US Guideline Screening Initiation Ages," Forum for Health Economics & Policy, De Gruyter, vol. 19(1), pages 87-139, June.
    5. Marianne P. Bitler & Christopher S. Carpenter, 2016. "Health Insurance Mandates, Mammography, and Breast Cancer Diagnoses," American Economic Journal: Economic Policy, American Economic Association, vol. 8(3), pages 39-68, August.
    6. Amy Finkelstein & Sarah Taubman & Bill Wright & Mira Bernstein & Jonathan Gruber & Joseph P. Newhouse & Heidi Allen & Katherine Baicker, 2012. "The Oregon Health Insurance Experiment: Evidence from the First Year," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1057-1106.
    7. Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
    8. Abadie A., 2002. "Bootstrap Tests for Distributional Treatment Effects in Instrumental Variable Models," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 284-292, March.
    9. Yao Lu & David J. G. Slusky, 2016. "The Impact of Women's Health Clinic Closures on Preventive Care," American Economic Journal: Applied Economics, American Economic Association, vol. 8(3), pages 100-124, July.
    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. 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).
    2. Joseph P. Newhouse, 2021. "An Ounce of Prevention," Journal of Economic Perspectives, American Economic Association, vol. 35(2), pages 101-118, Spring.
    3. 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.
    4. Francetic, Igor & Meacock, Rachel & Sutton, Matt, 2022. "Understanding Concordance in Health Behaviours among Couples: Evidence from the Bowel Cancer Screening Programme in England," Journal of Economic Behavior & Organization, Elsevier, vol. 201(C), pages 310-345.
    5. Emily Oster, 2020. "Health Recommendations and Selection in Health Behaviors," American Economic Review: Insights, American Economic Association, vol. 2(2), pages 143-160, June.
    6. 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).
    7. 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).
    8. Jason Abaluck & Leila Agha & David C. Chan Jr & Daniel Singer & Diana Zhu, 2020. "Fixing Misallocation with Guidelines: Awareness vs. Adherence," NBER Working Papers 27467, National Bureau of Economic Research, Inc.
    9. Eleanor Corkum & Tiffanie Perrault & Erin C. Strumpf, 2023. "Improving Breast Cancer Diagnosis Pathways in Quebec," CIRANO Project Reports 2023rp-22, CIRANO.
    10. 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).
    11. Abbasi, Ali & Gazze, Ludovica & Pals, Bridget, 2022. "Hidden hazards and Screening Policy : Predicting Undetected Lead Exposure in Illinois Using Machine Learning," The Warwick Economics Research Paper Series (TWERPS) 1398, University of Warwick, Department of Economics.
    12. Abbasi, A & DiTraglia, F & Gazze, L & Pals, B, 2022. "Hidden hazards and Screening Policy: Predicting Undetected Lead Exposure in Illinois Using Machine Learning," CAGE Online Working Paper Series 612, Competitive Advantage in the Global Economy (CAGE).
    13. Rafkin, Charlie & Shreekumar, Advik & Vautrey, Pierre-Luc, 2021. "When guidance changes: Government stances and public beliefs," Journal of Public Economics, Elsevier, vol. 196(C).
    14. Engy Ziedan & Kosali I. Simon & Coady Wing, 2022. "Mortality Effects of Healthcare Supply Shocks: Evidence Using Linked Deaths and Electronic Health Records," NBER Working Papers 30553, National Bureau of Economic Research, Inc.

    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. Michael R.M. Abrigo & Timothy J. Halliday & Teresa Molina, 2022. "Expanding health insurance for the elderly of the Philippines," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 500-520, April.
    2. Amanda E Kowalski, 2023. "Behaviour within a Clinical Trial and Implications for Mammography Guidelines," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(1), pages 432-462.
    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. Benjamin C. Chu, 2023. "Who did the ACA Medicaid expansion impact? Estimating the probability of being a complier," Health Economics, John Wiley & Sons, Ltd., vol. 32(7), pages 1626-1655, July.
    5. Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022. "Covariate distribution balance via propensity scores," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.
    6. Joshua D. Angrist, 2004. "Treatment effect heterogeneity in theory and practice," Economic Journal, Royal Economic Society, vol. 114(494), pages 52-83, March.
    7. Daniel Martin & Philip Marx, 2022. "A Robust Test of Prejudice for Discrimination Experiments," Management Science, INFORMS, vol. 68(6), pages 4527-4536, June.
    8. Joshua D. Angrist & Sarah R. Cohodes & Susan M. Dynarski & Parag A. Pathak & Christopher R. Walters, 2016. "Stand and Deliver: Effects of Boston's Charter High Schools on College Preparation, Entry, and Choice," Journal of Labor Economics, University of Chicago Press, vol. 34(2), pages 275-318.
    9. Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2013. "Program evaluation with high-dimensional data," CeMMAP working papers CWP57/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
    11. Heidi Allen & Katherine Baicker, 2021. "The Effect of Medicaid on Care and Outcomes for Chronic Conditions: Evidence from the Oregon Health Insurance Experiment," NBER Working Papers 29373, National Bureau of Economic Research, Inc.
    12. Markus Frölich & Martin Huber, 2017. "Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
    13. Shamena Anwar & Hanming Fang, 2015. "Testing for Racial Prejudice in the Parole Board Release Process: Theory and Evidence," The Journal of Legal Studies, University of Chicago Press, vol. 44(1), pages 1-37.
    14. 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.
    15. Seojeong Lee, 2018. "A Consistent Variance Estimator for 2SLS When Instruments Identify Different LATEs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(3), pages 400-410, July.
    16. Decio Coviello & Nicola Persico, 2013. "An Economic Analysis of Black-White Disparities in NYPD's Stop and Frisk Program," NBER Working Papers 18803, National Bureau of Economic Research, Inc.
    17. Imbens, Guido W., 2014. "Instrumental Variables: An Econometrician's Perspective," IZA Discussion Papers 8048, Institute of Labor Economics (IZA).
    18. Nicolás Grau & Damián Vergara, "undated". "A Simple Test for Prejudice in Decision Processes: The Prediction-Based Outcome Test," Working Papers wp493, University of Chile, Department of Economics.
    19. Augustine Denteh & Helge Liebert, 2022. "Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment," Papers 2201.07072, arXiv.org, revised Apr 2023.
    20. Vanessa Cirulli & Giuliano Resce & Marco Ventura, 2021. "Co-payment exemption and healthcare consumption. Quasi-experimental evidence from Italy," Working Papers in Public Economics 203, University of Rome La Sapienza, Department of Economics and Law.

    More about this item

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

    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:aea:aecrev:v:110:y:2020:i:12:p:3836-70. 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.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.