Existing learning models attribute failures to learn to a lack of data. We model a different barrier. Given the large number of dimensions one could focus on when using a technology, people may fail to learn because they failed to notice important features of the data they possess. We conduct a...

We study third-degree price discrimination in the presence of uninformed buyers who extract noisy information from observing prices. In a noisy learning environment, price discrimination can be detrimental to the firm and beneficial to the consumers. On the one hand, discriminatory pricing...

Plott, Wit & Yang (2003) conduct a betting market experiment and find: First, information was aggregated. This suggests that traders updated their private information based on observed market odds. Second, a model based only on the use of private information seems to fit their data best. The...

Mere observation of others' choices can be informative about product quality. This paper develops an individual-level dynamic model of observational learning, and applies it to a novel data set from the U.S. kidney market where transplant candidates on a waiting list sequentially decide whether...

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....