We present an algorithm and software routines for computing nth-order approximate solutions to dynamic, discrete-time rational expectations models around a nonstochastic steady state. We apply these routines to investigate the optimal monetary policy with commitment in an optimizing-agent model...

The literature on optimal monetary policy typically makes three major assumptions: 1) policymakers’ preferences are quadratic, 2) the economy is linear, and 3) stochastic shocks and policymakers’ prior beliefs about unobserved variables are normally distributed. This paper relaxes...

Literature on monetary policy can be broadly classified into two categories. The first category involves the construction of dynamic stochastic general-equilibrium models for monetary policy. The solid micro foundations built into these models are important because they facilitate interpretation...

Over the past decade there has been remarkable progress in developing empirical micro-founded macroeconomic models for monetary policy analysis that feature coherence both to economic theory and to the data. In this paper, we estimate using Bayesian methods a second-generation micro founded...

We formulate a generalized price-setting framework that incorporates staggered contracts of multiple durations and that enables us to directly identify the influences of nominal vs. real rigidities. Using German macroeconomic data over the period 1975Q1 through 1998Q4 to estimate this framework,...

We construct an empirical measure of market frictions in the corporate market based on the difference between the corporate bond spread and the credit default swap spread for a large number of firms in a new, large dataset that we construct. Under fairly standard assumptions, the two spreads...