Optimal Refund Mechanism With Consumer Learning

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Authors: Qianjun Lyu
Cited by: 3
References: 23

Abstract

ABSTRACT This article studies the optimal refund mechanism when an uninformed buyer learns about their valuation over time. We consider various refund mechanisms including simple return policies (no returns or free returns), and stochastic return policies, which allow the buyer to keep the product with some probability upon receiving a refund. We show that the optimal refund mechanism is deterministic and takes a simple form: either the seller deters buyer learning by offering a low price without returns, or encourages maximal learning by setting a high price with free returns. Interestingly, free returns are optimal only for intermediate prior beliefs.

Fields of Study & Subjects

Game Theory and Applications Auction Theory and Applications Consumer Market Behavior and Pricing

Publication details

Journal / source
The RAND Journal of Economics
Publisher
Wiley
Volume
57
Issue
1
Pages
205–224
Publication date
25 February 2026
Language
EN