Screening and Selection: The Case of Mammograms

Author:

Einav Liran1,Finkelstein Amy2,Oostrom Tamar3,Ostriker Abigail4,Williams Heidi1

Affiliation:

1. Department of Economics, Stanford University, and NBER (email: )

2. Department of Economics, Massachusetts Institute of Technology, and NBER (email: )

3. Department of Economics, Ohio State University (email: )

4. Department of Economics, Massachusetts Institute of Technology (email: )

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. (JEL I12, I18, J16)

Publisher

American Economic Association

Subject

Economics and Econometrics

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