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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...
Persistent link: https://www.econbiz.de/10013167440
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...
Persistent link: https://www.econbiz.de/10013284924
Professors John Hassler and Per Krusell 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...
Persistent link: https://www.econbiz.de/10013284923
By Francesco D’Acunto (Georgetown University) And Michael Weber (University of Chicago). Inflation expectations are central to the intertemporal consumption, saving, and investment choices of households and firms and determine the effectiveness of fiscal and monetary policy. Interest in the...
Persistent link: https://www.econbiz.de/10012815904
Professor Ludwig Straub (Harvard University) will teach the EABCN Training School "Heterogeneous-Agent Macro in the Sequence Space" in Manheim. The goal of this workshop is to get participants up to speed on solution methods for general equilibrium models with heterogeneity, including...
Persistent link: https://www.econbiz.de/10012815905
Professors Itamar Drechsler, Alexi Savov and Philipp Schablwill 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...
Persistent link: https://www.econbiz.de/10012815903
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