We study the role of the well-known monthly diffusion indices produced by the Institute or Supply Management in nowcasting current quarter US GDP growth. We investigate their marginal impact on these nowcasts when large unbalanced (jagged edge) macroeconomic data sets are used in real time to...

While the yield spread has long been recognized as a good predictor of recessions, it seems to have been largely overlooked by professional forecasters. We examine this puzzle, established by Rudebusch and Williams (2009), in a data-rich environment including not just the yield spread but many...

We propose serial correlation robust asymptotic confidence bands for the receiver operating characteristic (ROC) curves estimated by quasi-maximum likelihood in the binormal model. Our simulation experiments confirm that this new method performs fairly well in finite samples. The conventional...

We propose a generalized ordered response model that nests the popular Carlson-Parkin (CP) method to quantify household in flation expectations while explicitly control for cross-sectional heterogeneity in the threshold parameters and the variance. By matching qualitative and quantitative data...

We study the information content of the five components of the University of Michigan¡¯s Index of Consumer Sentiment and identify the main determinants of these measures, using semiparametric ordered choice models and household data from the Surveys of Consumers from January 1978 to September...

We combine the probability forecasts of real GDP declines from the U.S. Survey of Professional Forecasters, after trimming the forecasts that do not have "value" in the sense of Merton (1981). For this purpose, we propose a new test to evaluate probability forecasts that does not require...

This paper focuses on the newly proposed on-line forecast combination algorithms in Sancetta (2010), Yang (2004), and Wei and Yang (2012). We first establish the asymptotic relationship between these new algorithms and the Bates and Granger (1969) method. Then, we show that when implemented on...

Binary events are involved in many economic decision problems. In recent years, considerable progress has been made in diverse disciplines in developing models for forecasting binary outcomes. We distinguish between two types of forecasts for binary events that are generally obtained as the...

We study the role of consumer confidence surveys in forecasting personal consumption expenditure. We reexamine existing models of consumption and consumer confidence using both quarterly and monthly data in real time. Additionally, we produce forecasts of consumption expenditures with and...