Beyond Statistics: The Economic Content of Risk Scores

Author:

Einav Liran1,Finkelstein Amy2,Kluender Raymond3,Schrimpf Paul4

Affiliation:

1. Department of Economics, Stanford University, 579 Serra Mall, Stanford, CA 94305 and National Bureau of Economic Research (NBER) (e-mail: )

2. Department of Economics, Massachusetts Institute of Technoloyg (MIT), 50 Memorial Drive, Cambridge, MA 02142 and NBER (e-mail: )

3. Department of Economics, MIT, 50 Memorial Drive, Cambridge, MA 02142 (e-mail: )

4. Vancouver School of Economics, The University of British Columbia, 6000 Iona Drive, Vancouver, BC, Canada, V6T1L4 (e-mail: )

Abstract

“Big data” and statistical techniques to score potential transactions have transformed insurance and credit markets. In this paper, we observe that these widely-used statistical scores summarize a much richer heterogeneity, and may be endogenous to the context in which they get applied. We demonstrate this point empirically using data from Medicare Part D, showing that risk scores confound underlying health and endogenous spending response to insurance. We then illustrate theoretically that when individuals have heterogeneous behavioral responses to contracts, strategic incentives for cream-skimming can still exist, even in the presence of “perfect” risk scoring under a given contract. (JEL C55, G22, G28, H51, I13)

Publisher

American Economic Association

Subject

General Economics, Econometrics and Finance

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