Punishment strategies in repeated games: Evidence from experimental markets

B-Tier
Journal: Games and Economic Behavior
Year: 2013
Volume: 82
Issue: C
Pages: 91-102

Score contribution per author:

2.011 = (α=2.01 / 1 authors) × 1.0x B-tier

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

Abstract

An experiment is designed to provide a snapshot of the strategies used by players in a repeated price competition game with a random continuation rule. One hundred pairs of subjects played the game over the Internet, with subjects having a few days to make their decisions in each round. Occasionally subjects are asked to enter one-period-ahead pricing strategies instead of prices. According to the elicited strategies, between 90% and 95% of subjects punish less harshly (in their initial response to a deviation) than implied by the grim trigger strategy, and do so in a way that depends on the size of the other subjectʼs deviation. Future earnings are highest for subjects adopting the tit-for-tat strategy, even after controlling for a subjectʼs past earnings. Punishment strategies are generally softer and more graduated than implied by a grim trigger strategy, and do better as a result.

Technical Details

RePEc Handle
repec:eee:gamebe:v:82:y:2013:i:c:p:91-102
Journal Field
Theory
Author Count
1
Added to Database
2026-01-29