| Literature DB >> 27429712 |
Liran Einav1, Amy Finkelstein2, Raymond Kluender3, Paul Schrimpf4.
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.Entities:
Year: 2016 PMID: 27429712 PMCID: PMC4945120 DOI: 10.1257/app.20150131
Source DB: PubMed Journal: Am Econ J Appl Econ ISSN: 1945-7790