We use a statistical model to estimate impulse responses of sectoral price indices to aggregate shocks and to sector-specific shocks. In the median sector, 100 percent of the long-run response of the sectoral price index to a sector-specific shock occurs in the month of the shock. The Calvo...

This paper studies optimal monetary policy when decision-makers in firms choose how much attention they devote to aggregate conditions. When the amount of attention that decision-makers in firms devote to aggregate conditions is exogenous, complete price stabilization is optimal only in response...

Economists have studied for a long time how decision-makers allocate scarce resources. The recent literature on rational inattention studies how decision-makers allocate the scarce resource attention. The idea is that decision-makers have a limited amount of attention and have to decide how to...

Micro data on inflation expectations has two important properties: (i) there is substantial heterogeneity in inflation expectations across households, and (ii) the average inflation expectation responds slowly to shocks to actual inflation. This paper studies the effect of dispersed inflation...

Decision-makers often face limited liability and thus know that their loss will be bounded. We study how limited liability affects the behavior of an agent who chooses how much information to acquire and process in order to take a good decision. We find that an agent facing limited liability...

This paper studies a dynamic stochastic general equilibrium model with rational inattention. Decisionmakers have limited attention and choose the optimal allocation of their attention. We study the implications of rational inattention for business cycle dynamics. For example, we study how...

Survey data on expectations shows that households have heterogeneous inflation expectations and their inflation expectations respond sluggishly to realized shocks to future inflation. By contrast, in models with a zero bound on the nominal interest rate currently used for monetary and fiscal...

A researcher is interested in a set of variables that he wants to model with a vector auto-regression and he has a dataset with more variables. Which variables from the dataset to include in the VAR, in addition to the variables of interest? This question arises in many applications of VARs, in...