We analyze a simple supply chain with one supplier, one retailer and uncertainty about market demand. Focusing on the incentives of the supplier and the retailer to enhance their private information about the actual market conditions, we show that choices on information acquisition are strategic...

A decision-maker (DM) faces an intertemporal decision problem, where his payoff depends on actions taken across time as well as on an unknown Gaussian state. The DM can learn about the state from different (correlated) information sources, and allocates a budget of samples across these sources...

This paper studies the problem of costly information acquisition by focusing on the case of linear costs (e.g., rational inattention), and provides a characterization of optimal information using a supporting hyperplane argument. The characterization result is also applied on a pricing problem...

In this paper, I studied an information acquisition problem: a decision maker acquires information about payoff relevant states to facilitate decision making. My primary focus is on flexibility: the decision maker can choose any dynamic signal process as information source, subject to cost on...

Goods and services vary along a number of dimensions independently. Customers can choose to acquire information to assess the quality of some dimensions and not others. Their choices affect firms' incentives to invest in quality and so lead to indirect externalities in consumers' choices. We...

This paper studies static rational inattention problems with multiple actions and multiple shocks. We solve for the optimal signals chosen by agents and provide tools to interpret information processing. By relaxing restrictive assumptions previously used to gain tractability, we allow agents...

I consider a situation, where the agent can acquire payoff-relevant information either before or after the contract is signed. To raise efficiency, the principal might solicit information; to retain all surplus, however, she must prevent precontractual information gathering. The following class...

We study perfect Bayesian equilibria of a sequential social learning model in which agents in a network learn about an underlying state by observing neighbors' choices. In contrast with prior work, we do not assume that the agents' sets of neighbors are mutually independent. We introduce a new...

This paper presents a general framework for constructing and solving the multivariate static linear quadratic Gaussian (LQG) rational inattention tracking problem. We interpret the nature of the solution and the implied action of the agent, and we construct representations that formalize how the...