Estimating Welfare in Insurance Markets Using Variation in Prices

S-Tier
Journal: Quarterly Journal of Economics
Year: 2010
Volume: 125
Issue: 3
Pages: 877-921

Authors (3)

Liran Einav (Stanford University) Amy Finkelstein (not in RePEc) Mark R. Cullen (not in RePEc)

Score contribution per author:

2.681 = (α=2.01 / 3 authors) × 4.0x S-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We provide a graphical illustration of how standard consumer and producer theory can be used to quantify the welfare loss associated with inefficient pricing in insurance markets with selection. We then show how this welfare loss can be estimated empirically using identifying variation in the price of insurance. Such variation, together with quantity data, allows us to estimate the demand for insurance. The same variation, together with cost data, allows us to estimate how insurers' costs vary as market participants endogenously respond to price. The slope of this estimated cost curve provides a direct test for both the existence and the nature of selection, and the combination of demand and cost curves can be used to estimate welfare.We illustrate our approach by applying it to data on employer-provided health insurance from one specific company. We detect adverse selection but estimate that the quantitative welfare implications associated with inefficient pricing in our particular application are small, in both absolute and relative terms.

Technical Details

RePEc Handle
repec:oup:qjecon:v:125:y:2010:i:3:p:877-921.
Journal Field
General
Author Count
3
Added to Database
2026-01-25