The paper investigates social-learning when the information structure is not commonly known. Individuals repeatedly interact in social-learning settings with distinct information structures. In each round of interaction, they use their experience gained in past rounds to draw inferences from...

This paper develops an algorithm that enables to solve macroeconomic models with Rotemberg pricing and imperfect common knowledge. Under the concept of imperfect common knowledge, Rotemberg pricing requires the solution algorithm to take prices explicitly into account. The state space includes...

We consider a simple two period model where consumers have different switching costs. Before the market opens, there was an incumbent who sold to all consumers. We identify the equilibrium both with Stackelberg and Bertrand competition and show how the presence of low switching cost consumers...

We analyze price dispersion using panel data from a large price comparison site. We use past pricing behavior to instrument for potential endogeneity that might result from the selection of firms to certain product markets. We find that greater price adjustment costs result in greater price...

Information about the future may be instrumentally useful, yet scary. For example, many patients shy away from precise genetic tests about their dispositions for severe diseases. They are afraid that a bad test result could render them desperate due to anticipatory feelings. We show that...

Two duopolists compete in price on the market for a homogeneous product. They can ‘profile’ consumers, i.e., identify their valuations with some probability. If both firms can profile consumers but with different abilities, then they achieve positive expected profits at equilibrium. This...

This paper investigates to what extent unregulated local monopolies attempt not to evoke the introduction of a formal price regulation by conforming to customers' and authorities' expectations. It is argued that utilities can meet expectations by setting prices that imitate neighbours' prices....

This exercise offers an innovative learning mechanism to model economic agent's decision-making process using a deep reinforcement learning algorithm. In particular, this AI agent is born in an economic environment with no information on the underlying economic structure and its own preference....

We propose a method to measure people's subjective models of the macroeconomy. Using a sample of 2,200 households representative of the US population and a sample of more than 1,000 experts, we measure beliefs about how the unemployment rate and the inflation rate respond to four different...

This paper studies a new aspect of firms' expectation formation by asking whether expectations primarily reflect aggregate, industry-wide information (e.g., industry trends) or disaggregate information (e.g., firm-specific information). First, we show that disaggregate information is strongly...