We are pleased to announce details of the latest EABCN Training School; a two-day course. Professor Morten Ravn (UCL) will teach the course.
- Training Schools
The course introduces participants to a variety of advanced topics and recent developments in economic forecasting. Professors Graham Elliott and Allan Timmermann will teach the course.
Wouter den Haan (London School of Economics) and Pontus Rendahl (University of Cambridge) will be the instructors of the course that will discuss computational methods for macro analysis.
Domenico Giannone (Fed NY) and Giorgio Primiceri (Northwestern) will be the instructors of a course that covers methods designed to deal with prediction with “big data” in macroeconomics, and to conduct structural analysis.
Professors Kenneth Singleton and Anh Le will cover select topics on the modelling of the term structure of interest rates, including reduced-form affine term structure models and equilibrium models of the interest rates in which agents are endowed with specific preferences.
Prof. Benjamin Moll (University of Princeton) will teach a course that will develop tools for the analysis and numerical solution of heterogeneous agent models in continuous-time focusing in particular on numerical solutions techniques using finite difference methods.
Prof. Lutz Kilian (U. Michigan) will cover the determination of the price of oil in global markets and the relationship between the price of oil and the macroeconomy (inflation, growth, financial markets).
The 27th EABCN training school will be a three days course on 'Practical DSGE Models' taught by Professor Fabio Canova (BI Norwegian School of Management). 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 and make economic analyses more robust.
The 26th EABCN training school will be a three days course on 'Monetary Policy: An Imperfect Knowledge Perspective' taught by Professor Bruce Preston (University of Melbourne). Using a New Keynesian model with learning dynamics, this course builds an analytical framework for monetary policy evaluation that is consistent with the pervasive evidence of low-frequency variation in macroeconomic data. The consequences of such belief structures for monetary policy design are explored.
Professor Marc J. Melitz (Harvard University) will survey the newer empirical literature based on firm-level studies of trade, and develop the analytical framework for general equilibrium models of trade with heterogeneous producers. The lectures will then cover applications (both theoretical and empirical) of these models to different subfields of international economics.
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) models, covering both estimation methods and applications.
The 23rd EABCN training school will be a three days course on 'Term Structure Modeling and the Lower Bound Problem' taught by Dr Jens Christensen (Federal Reserve Bank of San Francisco). The course will cover the most recent literature on how to model the term structure of bond yields including challenges posed by the asymmetric behavior of yields near their lower bound.
To access the material of the event follow this link.
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