STRUCTURAL ESTIMATION OF SEQUENTIAL GAMES OF COMPLETE INFORMATION

C-Tier
Journal: Economic Inquiry
Year: 2015
Volume: 53
Issue: 2
Pages: 791-811

Score contribution per author:

1.005 = (α=2.01 / 1 authors) × 0.5x C-tier

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

Abstract

type="main" xml:id="ecin12189-abs-0001"> <p xml:id="ecin12189-para-0001"><fi>In models of strategic interaction, there may be important order of entry effects if one player can credibly commit to an action (e.g., entry) before other players. If one estimates a simultaneous-move model, then the move-order effects will be confounded with the payoffs. This article considers nonparametric identification and simulation-based estimation of sequential games of complete information. Relative to simultaneous-move games, these models avoid the problem of multiple equilibria and require fewer payoff normalizations. We apply the estimator in several Monte Carlo experiments and to study entry-order effects using data from the airline industry</fi>. (<fi>JEL</fi> C57, C15, L93)

Technical Details

RePEc Handle
repec:bla:ecinqu:v:53:y:2015:i:2:p:791-811
Journal Field
General
Author Count
1
Added to Database
2026-01-24