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

Principal Investigator(s):  View help for Principal Investigator(s) Tamar Oostrom, The Ohio State University; Amy Finkelstein, Massachusetts Institute of Technology; Liran Einav, Stanford University; Abigail Ostriker, Massachusetts Institute of Technology; Heidi Williams, Stanford University

Version:  View help for Version V1

Name File Type Size Last Modified
  BRFSS 07/07/2020 10:52:AM
  Compile_Moments 07/07/2020 10:54:AM
  Counterfactual_Screening_Policy 07/07/2020 10:54:AM
  Create_Counterfactuals 07/07/2020 10:54:AM
  Erasmus_Baseline 07/07/2020 10:54:AM
  Fit_Model 07/07/2020 10:54:AM
  HCCI_Export_Files 07/07/2020 10:54:AM
  Make_Erasmus_Categories 07/07/2020 10:54:AM

Project Description

Summary:  View help for Summary 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. 

Scope of Project

JEL Classification:  View help for JEL Classification
      I11 Analysis of Health Care Markets
      I18 Health: Government Policy; Regulation; Public Health
Data Type(s):  View help for Data Type(s) program source code


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Published Versions

V1 [2020-11-23]

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