Statistical inference as a bargaining game

This paper extends the analogy previously established by E. Leamer, between a Bayesian inference problem and an economics allocation problem, and shows that posterior modes can be interpreted as optimal outcomes of a bargaining game. This bargaining game, over a parameter value, is played between two players: the researcher, with preferences represented by the prior, and the data, with preferences represented by the likelihood.