Recovering Preferences From Finite Data

S-Tier
Journal: Econometrica
Year: 2021
Volume: 89
Issue: 4
Pages: 1633-1664

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 study preferences estimated from finite choice experiments and provide sufficient conditions for convergence to a unique underlying “true” preference. Our conditions are weak and, therefore, valid in a wide range of economic environments. We develop applications to expected utility theory, choice over consumption bundles, and menu choice. Our framework unifies the revealed preference tradition with models that allow for errors.

Technical Details

RePEc Handle
repec:wly:emetrp:v:89:y:2021:i:4:p:1633-1664
Journal Field
General
Author Count
3
Added to Database
2026-01-25