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...

This course covers methods designed to deal with prediction with “big data” in macroeconomics, and to conduct structural analysis. The three main subjects of the course are: - predictive regressions with big data ; - Bayesian VARs, as a popular example of big data multivariate models, which...

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)...