We distinguish between three different ways of using real-time data to estimate forecasting equations and argue that the most frequently used approach should generally be avoided. The point is illustrated with a model that uses monthly observations of industrial production, employment, and...

The authors forecast current-quarter real GDP growth using monthly data that would have been available to an analyst in real time. They demonstrate that using real-time data is of major importance both when estimating GDP forecasting models and when evaluating their performance. Moreover, the...

In an economy in which debt obligations are fixed in nominal terms, but there are otherwise no nominal rigidities, a monetary policy that targets inflation inefficiently concentrates risk, tending to increase the financial distress that accompanies adverse real shocks. Nominal-income targeting...

Ongoing economic globalization makes real-time international data increasingly relevant, though little work has been done on collecting and analyzing real-time data for economies other than the U.S. In this paper, we introduce and examine a new international real-time dataset assembled from...

We undertake a real-time VAR analysis of the usefulness of the term spread, the junk-bond spread, the ISM's New Orders Index, and broker/dealer equity for predicting growth in non-farm employment. To get around the "apples and oranges" problem described by Koenig, Dolmas and Piger (2003), we...

John Taylor and David Romer champion an approach to teaching undergraduate macroeconomics that dispenses with the LM half of the IS-LM model and replaces it with a rule for setting the interest rate as a function of inflation and the output gap - i.e., a Taylor rule. But the IS curve is...

This paper analyzes three popular models of nominal price and wage frictions to determine which best fits post-war U.S. data. We construct a dynamic stochastic general equilibrium (DSGE) model and use maximum likelihood to estimate each model's parameters. Because previous research finds that...

Conventional VAR estimation and forecasting ignores the fact that economic data are often subject to revision many months or years after their initial release. This paper shows how VAR analysis can be modified to account for such revisions. The proposed approach assumes that government...