Data and Code for: Screening and Selection: The Case of Mammograms

Resource Type
Dataset : program source code
  • Oostrom, Tamar (The Ohio State University)
  • Finkelstein, Amy (Massachusetts Institute of Technology)
  • Einav, Liran (Stanford University)
  • Ostriker, Abigail (Massachusetts Institute of Technology)
  • Williams, Heidi (Stanford University)
Publication Date
  • 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.
This study is freely available to the general public via web download.
  • Has version
    DOI: 10.3886/E120217V1
  • Einav, Liran, Amy Finkelstein, Tamar Oostrom, Abigail Ostriker, and Heidi Williams. “Screening and Selection: The Case of Mammograms.” American Economic Review, n.d.

Update Metadata: 2020-11-23 | Issue Number: 1 | Registration Date: 2020-11-23