Professors Eric Ghysels, Massimiliano Marcellino and Jonas Straukas will a three-day course entitled “What's New in Mixed Frequency Data (MIDAS), with Applications to Machine Learning and Big Data”. The focus of the course is the use of mixed frequency data in economics and finance. A...

Programme: - High-frequency Monitoring of Growth-at-Risk; - Uncertain Kingdom: Nowcasting GDP and revisions; - Real-time Weakness of the Global Economy: A First Assessment of the Coronavirus Crisis; - Nowcasting Tail Risks to Economic Activity with Many Indicators; - Advances in Nowcasting...

Professor Wouter den Haan and Dr Pontus Rendahl will teach the course. It is primarily aimed at participants in the Euro Area Business Cycle Network but applications will also be considered from doctoral students, post-doctoral researchers and economists working in central banks and government...

Most DSGE model used by policy institutions are generally of large scale and little attention is generally paid to issues like model misspecification, model evaluation, model reduction and re-specification. This course offers hints on how one can address these all these issues in a unified way...

The 24th EABCN training school will be a three days course on 'Advances in Bayesian Analysis of DSGE Models' taught by Professor Frank Schorfheide (University of Pennsylvania). The course will cover the recent advances in the Bayesian analysis of dynamic stochastic general equilibrium (DSGE)...

Prof. Lawrence J. Christiano ( Northwestern University) Tentative course outline: 1. Structural Vector Autoregressions 2. Estimation of a DSGE model 3. Monetary policy analysis of DSGE models 4. Areas for further development of DSGE models 5. Applications of monetary policy analysis with DSGE models

Topics: I. Forecast Evaluation A. Review of standard results B. Comparison of a small number of non-nested models: Diebold / Mariano / West (DMW) statistic; asymptotic irrelevance C. Comparison of a small number of nested models D. Comparison of a large number of models II. Present value models...