An unresolved problem in Bayesian decision theory is how to value and price information. This paper resolves both problems by assuming inexpensive information. Building on Large Deviation Theory, we produce a generically complete asymptotic order on samples of i.i.d. signals in finite-state,...

We extend the comparison of experiments in Blackwell (1953) to a strategic setting that both simplifies and expands upon ideas in Gossner (2000). We introduce a partial order on correlating signals, called more strategically informative, and prove that it is equivalent to the partial order more...

We prove that the recently proposed informational herding models are but special cases of a standard single person experimentation model with myopia. We then re-interpret the incorrect herding outcome as a familiar failure of complete learning in a optimal experimentation problem. We next...

We assume that an impatient decision maker (DM) runs variable-size experiments at an increasing, strictly convex cost before choosing an irreversible action. We introduce and solve a tractable continuous time version of this problem --- a control of variance of a diffusion with uncertain mean....

We assume that an impatient decision maker (DM) runs variable-size experiments at an increasing, strictly convex cost before choosing an irreversible action. We introduce and solve a tractable continuous time version of this problem - a control of variance of a diffusion with uncertain mean....