THE STRATEGIES BEHIND THEIR ACTIONS: A METHOD TO INFER REPEATED-GAME STRATEGIES AND AN APPLICATION TO BUYER BEHAVIOR

We introduce a Bayesian method to infer repeted-game strategies in the form of if-then statements that best describe individuals' observed actions. We apply this method to buyer behavior in posted-offer market experiments. While the strategies of one-quarter of the buyers in our experiments correspond to the game-theoretic prediction of passive price-taking, for three-quarters of the buyers we infer repeated-game strategies that condition on time, price, and combinations of time and price. Our analysis fills a gap in a literature that studies the convergence of pricing behavior in posted-offer markets but has not addressed the market as a repeated game. We propose that strategy inference should at least complement existing methods of statistical inference on observed strategic behavior.