"The foundation of the New Keynesian Phillips curve (NKPC) is a model of price setting with nominal rigidities that implies that the dynamics of inflation are well explained by the evolution of real marginal costs. In this paper, we analyze whether this is a structurally invariant relationship....

We model transitional dynamics that emerge after the adoption of a new monetary policy rule. We assume that private agents learn about the new policy via Bayesian updating, and we study how learning affects the nature of the transition and the choice of a new rule. Temporarily explosive dynamics...

"This article discusses a more general interpretation of the two-step minimum distance estimation procedure proposed in earlier work by Sbordone. The estimator is again applied to a version of the New Keynesian Phillips curve, in which inflation dynamics are driven by the expected evolution of...

This paper analyzes the potential effect of global market competition on inflation dynamics. It does so through the lens of the Calvo model of staggered price setting, which implies that inflation depends on expected future inflation and a measure of marginal costs. I modify the assumption of a...

This paper analyzes the potential effect of global market competition on inflation dynamics. It does so through the lens of the Calvo model of staggered price-setting, which implies that inflation depends on expected future inflation and a measure of marginal costs. I modify the assumption of a...

"We use Bayesian methods to estimate two models of post WWII U.S. inflation rates with drifting stochastic volatility and drifting coefficients. One model is univariate, the other a multivariate autoregression. We define the inflation gap as the deviation of inflation from a pure random walk...

Data, data, data . . . Economists know it well, especially when it comes to monitoring macroeconomic conditions - the basis for making informed economic and policy decisions. Handling large and complex data sets was a challenge that macroeconomists engaged in real-time analysis faced long before...