This paper presents a recently developed approach for evaluating economic forecasts. Previously, univariate methods were used to evaluate the forecasts of individual variables. However, many macroeconomic variables are forecast at the same time to describe the state of the economy. It is,...

This paper reconciles contradictory findings obtained from forecast evaluations: the existence of systematic errors and the failure to reject rationality in the presence of such errors. Systematic errors in one economic state may offset the opposite types of errors in the other state such that...

In this paper we jointly evaluate the Federal Reserve staff forecasts of U.S. real output growth and the inflation rate assuming the forecasts are to be used as inputs for the Taylor rule. Our simple methodology generates “policy forecast errors” which have a direct interpretation for the...

In this paper we examine the quality of the initial estimates of the components of both real and nominal U.S. GDP. We introduce a number of new statistics for measuring the magnitude of changes in the components from the initial estimates available one month after the end of the quarter to the...

This article provides a discussion of Clements and Galvão’s “Forecasting with Vector Autoregressive Models of Data Vintages: US output growth and inflation.” Clements and Galvão argue that a multiple-vintage VAR model can be useful for forecasting data that are subject to revisions....

In this paper we examine the quality of the initial estimates of headline GDP and 10 major components of both real and nominal U.S. GDP. We ask a number of questions about various characteristics of the differences between the initial estimates available one month after the end of the quarter to...

Unobserved components (UC) models are widely used to estimate stochastic trends in macroeconomic time series, with the existence of a stochastic trend typically motivated by a stationarity test. However, given the small sample sizes available for most macroeconomic variables, standard Lagrange...

Recent research examining U.S. macroeconomic data suggests that revisions may be much more important than traditionally assumed. This paper extends the analysis to Chinese data, where there has been substantial debate about data quality for some time. The key finding in this paper is that indeed...