This Paper proposes a new forecasting method that exploits information from a large panel of time series. The method is based on the generalized dynamic factor model proposed in Forni, Hallin, Lippi, and Reichlin (2000), and takes advantage of the information on the dynamic covariance structure...

This chapter highlights the problems that structural methods and SVAR approaches have when estimating DSGE models and examining their ability to capture important features of the data. We show that structural methods are subject to severe identification problems due, in large part, to the nature...

A smooth progression from Stage Two to Stage Three of EMU requires that the type of policy planned for Stage Three should be foreshadowed in Stage Two. Two possibilities for that policy are monetary targeting or an interest rate policy feeding back on a nominal variable. The paper re-examines...

We fit nonlinearly mean-reverting models to real dollar exchange rates over the post-Bretton Woods period, consistent with a theoretical literature on transaction costs in international arbitrage. The half lives of real exchange rate shocks, calculated through Monte Carlo integration, imply...

In this Paper we assess the progress made by the profession in understanding whether and how exchange rate intervention works. To this end, we review the theory and evidence on official intervention, concentrating primarily on work published within the last decade or so. Our reading of the...

Data sharing is common practice in forecasting experiments in situations where fresh data samples are difficult or expensive to generate. This means that forecasters often analyze the same data set using a host of different models and sets of explanatory variables. This practice introduces...

We investigate identification issues in DSGE models and their consequences for parameter estimation and model evaluation when the objective function measures the distance between estimated and model-based impulse responses. Observational equivalence, partial and weak identification problems are...

I examine the effectiveness of exchange rate intervention within the context of a Markov-switching model for the real exchange rate. The probability of switching between stable and unstable regimes depends non-linearly upon the amount of intervention, the degree of misalignment and the duration...

Recent tests for the convergence hypothesis derive from regressing average growth rates on initial levels: a negative initial level coefficient is interpreted as convergence. These tests turn out to be plagued by Francis Galton's classical fallacy of regression towards the mean. Using a dynamic...