We develop a framework to nowcast (and forecast) economic variables with machine learning techniques. We explain how machine learning methods can address common shortcomings of traditional OLS-based models and use several machine learning models to predict real output growth with lower forecast...

This paper uses panel data for 19 OECD countries and finds support for the hypothesis that a greater degree of product variety relative to the United States helps to explain relative per capita GDP levels. The empirical work relies upon some direct measures of product variety calculated from...

Growth and inflation in Turkey have been volatile over the last two decades. It would, therefore, be useful to identify indicators that anticipate economic conditions and inflation. This paper investigates the predictive performance of economic indicators for inflation and real output growth in...

This paper analyzes the sources of Mexico''s economic growth since the 1960s and compares various decompositions of historical growth into its trend and cyclical components. The role of the implied output gaps in the inflationary process is then assessed. Looking ahead, the paper presents...

This paper is the first attempt to directly explore the long-run nonlinear relationship between the shadow economy and level of development. Using a dataset of 158 countries over the period from 1996 to 2015, our results reveal a robust U-shaped relationship between the shadow economy size and...

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 paper examines the extent to which conclusions of cross-country studies of private savings are robust to allowing for the possible heterogeneity of savings behavior across countries and the inclusion of dynamics. It shows that neglecting heterogeneity and dynamics can lead to misleading...