We compare different methods for estimating forwardlooking output and inflation equations and show that weak identification can be an issue in conventional GMM estimation. GMM and maximum likelihood procedures that impose the dynamic constraints implied by the forwardlooking relation on the...

Structural vector autoregression (SVAR) models are commonly used to investigate the effect of structural shocks on economic variables. The identifying restrictions imposed in many of these exercises have been criticized in the literature. This paper extends this literature by showing that, if...

How predictable are real GNP, prices, and other macroeconomic data over long time horizons? The answer depends on the nature of their trends. In this article, Nathan S. Balke describes alternative models of trend for economic data, discusses the implications of these models for forecasting and...

This paper considers the problem of forecasting in large macroeconomic panels using Bayesian model averaging. Practical methods for implementing Bayesian model averaging with factor models are described. These methods involve algorithms that simulate from the space defined by all possible...

The macroeconomic reasons for the recent banking crises in the Nordic countries are analysed using an econometric model estimated with panel data from the 1980s and 1990s. Two alternative dependent variables are used: the ratio of banks oan losses to lending and enterprise bankruptcies per...

This book deals with the key aspects of developments in monetary economics and macroeconomics, such as the New Consensus Macroeconomics, and further ones such as money, credit and the business cycle. Adding to the analysis are developments that focus on issues for open and spatial macroeconomics