This paper provides an assessment of the consistency of unemployment and output forecasts. We show that, consistent with Okun’s Law, forecasts of real GDP growth and the change in unemployment are negatively correlated. The Okun coefficient—the responsiveness of unemployment to growth—from...

This study proposes a data-based algorithm to select a subset of indicators from a large data set with a focus on forecasting recessions. The algorithm selects leading indicators of recessions based on the forecast encompassing principle and combines the forecasts. An application to U.S. data...

A simple criterion based on the properties of the forecast error is presented to evaluate the accuracy of forecasts. The efficiency conditions of an optimization problem are used to show that under rational expectations the standard statistical conditions are necessary, but not sufficient to...

Consensus forecasts are inefficient, over-weighting older information already in the public domain at the expense of new private information, when individual forecasters have different information sets. Using a cross-country panel of growth forecasts and new methodological insights, this paper...

This paper develops a new monthly World Trade Leading Indicator (WTLI) that relies on nonparametric and parametric approaches. Compared to the CPB World Trade Monitor's benchmark indicator for global trade the WTLI captures turning points in global trade with an average lead between 2 and 3...

This paper studies the main determinants of total factor productivity (TFP) growth using principal component analysis and a dynamic panel data model and, through a case study, explores key areas where accelerated reforms in the Maghreb countries would boost TFP gains. The results reveal that...