Optimal Refund Mechanism With Consumer Learning

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.

Institutions

Publication Details

Journal
The RAND Journal of Economics
Published
2026-02-25
DOI
https://doi.org/10.1111/1756-2171.70046
Primary Topic
Game Theory and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimal Refund Mechanism With Consumer Learning

The RAND Journal of Economics
Game Theory and Applications
article

Optimal Refund Mechanism With Consumer Learning

article en

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.

The RAND Journal of EconomicsVol. 57(1)
Universidad Carlos III de Madrid (ES)
Openalex Percentile: Top 39%
Game Theory and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.