On the Convergence of Bayesian Posterior Processes in Linear Economic Models: Counting Equations and Unknowns

I propose a technique, counting ‘equations’ and ‘unknowns’, for determining when the posterior distributions of the parameters of a linear regression process converge to their true values.

Learning in Mis-Specified Models and the Possibility of Cycles

I study the problem of a monopolist maximizing a sum of discounted profits facing a linear demand curve whose slope and intercept are unknown. I show that if the monopolist has a mis-specified model…