The German economy is an important economic driver in the Euro-area in terms of gross domestic product, labour force and international integration. We provide a state of the art estimate of the German output gap between 1995 and 2022 and present a nowcasting scheme that accurately predicts the...

We study whether the accuracy of real-time estimates of the output gap produced by the OECD has improved over time by examining a panel dataset on real-time output gap revisions for 15 countries from 1991 Q1 - 2005 Q4. We use a simple panel data regression and a state space model, with common...

This paper looks at some implications of data uncertainty for monetary policy. We combine national accounts data revisions with optimal control and filtering experiments on a calibrated model to discuss policy implications of price-versus-volume data uncertainty in GDP data for the United...

We follow Fuhrer (2000) in estimating via Maximum Likelihood a log-linear consumption function on UK data. In doing so we consider various habit formation assumptions. We show that a model of purely external habits as in Fuhrer (2000) fits the UK data remarkably well, and possibly in a superior...

This paper presents the main issues involved in estimating potential output. The objective is to describe the alternative methods and analyze their application and implications for growth forecasts and macroeconomic policy in Brazil. The text emphasizes the determinants of potential output under...

We propose a novel time-varying parameters mixed-frequency dynamic factor model which is integrated into a dynamic model averaging framework for macroeconomic nowcasting. Our suggested model can efficiently deal with the nature of the real-time data flow as well as parameter uncertainty and...