First-order approximation methods are a standard technique for analyzing the local dynamics of dynamic stochastic general equilibrium (DSGE) models. Although linear methods yield quite accurate solutions for a broad class of DSGE models, some important economic issues (e.g., portfolio choice and...

A dilemma faced by forecasters is that data are not all sampled at the same frequency. Most macroeconomic data are sampled monthly (e.g., employment) or quarterly (e.g., GDP). Most financial variables (e.g., interest rates and asset prices), on the other hand, are sampled daily or even more...

This paper provides a selective, up-to-date survey of the recent, fast-growing literature on new open economy macroeconomics. Lucio Sarno begins with a review of the seminal paper in this literature, describing the baseline model proposed therein. He then covers a number of variants and...

This article discusses various challenges in the specification and implementation of "macro-finance" models in which macroeconomic variables and term structure variables are modeled together in a no-arbitrage framework. The author classifies macro-finance models into pure latent-factor models...

This paper presents a single, integrated model to explain the persistence and volatility characteristics of the U.S. inflation time series. Policymaker learning about a Markov-switching natural rate of unemployment in a neoclassical Phillips curve model with time-varying preferences produces...

After a brief review of key developments in application of monetary theory to policy analysis, Bennett T. McCallum describes the central aspects of the typical framework used to analyze monetary policy rules. He reviews the methods used to study the effects of policy behavior and provides an...