We explore how optimal information choices change the predictions of strategic models. When a large number of agents play a game with strategic complementarity, information choices exhibit complementarity as well: if an agent wants to do what others do, they want to know what others know. This makes heterogeneous beliefs difficult to sustain and may generate multiple equilibria. In models with substitutability, agents prefer to differentiate their information choices. We use these theoretical results to examine the role of information choice in recent price-setting models and to propose modelling techniques that ensure equilibrium uniqueness.

Recent years have seen substantial prog? ress in our understanding of pricing decisions at the micro level. Access to large-scale data sources on prices of individual products has given us rich information on how frequently prices change, by what magnitude, and how the aggregation of price changes in individual firms maps into aggregate inflation (see, among many others, Mark Bils and Peter J. Klenow 2005). These facts about price movements are a key input in recent quantitative models of the aggre? gate effects of nominal rigidities (e.g., Mikhail Golosov and Robert E. Lucas 2007). In this paper, we use both the new facts and the new quantitative models to revisit an old question, namely, that of quantifying the welfare benefits of low inflation. Our model includes two

In all markets, firms go through a process of creative destruction: entry, random growth, and exit. In many of these markets there are also regulations that restrict entry, possibly distorting this process. We study the public interest rationale for entry taxes in a general equilibrium model with free entry and exit of firms in which firm dynamics are driven by reputation concerns. In our model firms can produce high-quality output by making a costly but efficient initial unobservable investment. If buyers never learn about this investment, an extreme “lemons problem” develops, no firm invests, and the market shuts down. Learning introduces reputation incentives such that a fraction of entrants do invest. We show that if the market operates with spot prices, entry taxes always enhance the role of reputation to induce investment, improving welfare despite the impact of these taxes on equilibrium prices and total production.

We analyze the consequences of noisy information aggregation for investment. Market imperfections create endogenous rents that cause overinvestment in upside risks and underinvestment in downside risks. In partial equilibrium, these inefficiencies are particularly severe if upside risks are coupled with easy scalability of investment. In general equilibrium, the shareholders’ collective attempts to boost value of individual firms leads to a novel externality operating through price that amplifies investment distortions with downside risks but offsets distortions with upside risks.

Theories based on information costs or frictions have become increasing popular in macroeconomics and macro-finance. The literature has used various types of information choices, such as rational inattention, inattentiveness, information markets and costly precision. Using a unified framework, we compare these different information choice technologies and explain why some generate increasing returns and others, particularly those where agents choose how much public information to observe, generate multiple equilibria. The results can help applied theorists to choose the appropriate information choice technology for their application and to understand the consequences of that modeling choice.

We develop a model of currency crises, in which traders are heterogeneously informed, and interest rates are endogenously determined in a noisy rational expectations equilibrium. In our model, multiple equilibria result from distinct roles an interest rate plays in determining domestic asset market allocations and the devaluation outcome. Except for special cases, this finding is not affected by the introduction of noisy private signals. We conclude that the global games results on equilibrium uniqueness do not apply to market-based models of currency crises.

We study noisy aggregation of dispersed information in financial markets without imposing parametric restrictions on preferences, information, and return distributions. We provide a general characterization of asset returns by means of a risk‐neutral probability measure that features excess weight on tail risks. Moreover, we link excess weight on tail risks to observable moments such as forecast dispersion and accuracy, and argue that it provides a unified explanation for several prominent cross‐sectional return anomalies. Simple calibrations suggest the model can account for a significant fraction of empirical returns to skewness, returns to disagreement, and interaction effects between the two.

We characterize equilibria with endogenous debt constraints for a general equilibrium econ-omy with limited commitment in which the only consequence of default is losing the ability to borrow in future periods. First, we show that equilibrium debt limits must satisfy a simple con-dition that allows agents to exactly roll over existing debt period by period. Second, we provide an equivalence result, whereby the resulting set of equilibrium allocations with self-enforcing private debt is equivalent to the allocations that are sustained with unbacked public debt or rational bubbles. In contrast to the classic result by Bulow and Rogo § (AER, 1989), positive levels of debt are sustainable in our environment because the interest rate is su¢ciently low to provide repayment incentives. We thank for useful comments the editor, Harald Uhlig, three anonymous referees, Marios Angeletos, Andy

Global games of regime change–coordination games of incomplete information in which a status quo is abandoned once a sufficiently large fraction of agents attacks it–have been used to study crises phenomena such as currency attacks, bank runs, debt crises, and political change. We extend the static benchmark examined in the literature by allowing agents to take actions in many periods and to learn about the underlying fundamentals over time. We first provide a simple recursive algorithm for the characterization of monotone equilibria. We then show how the interaction of the knowledge that the regime survived past attacks with the arrival of information over time, or with changes in fundamentals, leads to interesting equilibrium properties. First, multiplicity may obtain under the same conditions on exogenous information that guarantee uniqueness in the static benchmark. Second, fundamentals may predict the eventual regime outcome but not the timing or the number of attacks. Finally, equilibrium dynamics can alternate between phases of tranquillity–where no attack is possible–and phases