A nonparametric test for cooperation in discrete games

B-Tier
Journal: The Econometrics Journal
Year: 2023
Volume: 26
Issue: 2
Pages: 257-278

Authors (2)

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

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

Abstract

SummaryWe propose a nonparametric test for cooperative behaviour among players in discrete, static games. Assuming that certain exchangeability conditions hold if we match observable characteristics across all players, we obtain testable implications for cooperative (coalitional) behaviour, which we define as occurring when players maximise an unknown joint objective function that is symmetric conditional on the matching. Cooperation implies the existence of a class of outcomes $\mathcal {Y}$ such that, conditional on the matching, the probability of observing an outcome $y\in \mathcal {Y}$ must be equal to the probability of observing any permutation of y. We present a nonparametric econometric test and we characterise its asymptotic properties. We apply our test to expansion/entry decisions of Lowe’s and Home Depot in the contiguous United States and we find that, while outcomes are consistent with noncooperative behaviour in larger markets, we fail to reject cooperation in smaller markets.

Technical Details

RePEc Handle
repec:oup:emjrnl:v:26:y:2023:i:2:p:257-278.
Journal Field
Econometrics
Author Count
2
Added to Database
2026-01-24