Olivier Coibion (University of Texas an NBER), Jordi Gali (CREI, CEPR and NBER), Ricardo Reis (London School of Economics, CEPR and NBER) are confirmed invited speakers.
The conference will cover a broad range of themes related to empirical aspects of business cycles. Marc Giannoni (Federal Reserve Bank of Dallas and CEPR), and Lucrezia Reichlin (London Business School and CEPR) are confirmed invited speakers.
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.
The conference covers a broad range of themes related to challenges and advancements in understanding business cycle behaviour. George-Marios Angeletos (MIT and NBER), Nir Jaimovich (University of Zurich and CEPR) and Franck Portier (University College London and CEPR) are confirmed invited speakers, and we welcome further relevant submissions.
This second EABCN macro-finance conference will cover innovative work advancing our knowledge of macro-financial linkages. Theoretical and empirical contributions are both welcome. Nicola Gennaioli (Bocconi University & CEPR) and Stefan Nagel (Booth School of Business, University of Chicago & CEPR) will be the keynote speakers.
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 conference will cover a broad range of themes related to the estimation of the effects of unconventional monetary policies in the data. Jordi Gali (CREI and CEPR), Refet S. Gürkaynak (Bilkent University and CEPR), Frank Smets (ECB and CEPR) and Jonathan Wright (Johns Hopkins University) are confirmed invited speakers.
The tenth conference organized by the International Research Forum on Monetary Policy (IRFMP) will be held at the Federal Reserve Board in Washington, D.C. on March 23-24, 2018. The purpose of the IRFMP is to promote the discussion of innovative research on theoretical and empirical macroeconomic issues with relevance for monetary policy.
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.
The conference will cover a broad range of themes related to econometric models with parameter time-variation. A special emphasis is on methodological, theoretical and empirical aspects and on their relevance for economic policy making, in particular for monetary policy and financial stability.
Wouter Den Haan (London School of Economics and CEPR), Jesper Lindé (Sveriges Riksbank and CEPR), Junior Maih (Norges Bank) and Dan Waggoner (Atlanta FED) are already confirmed their participation.
The Banque de France and the Euro Area Business Cycle Network are organising a scientific conference dealing with theoretical and empirical advances in monetary policy research.
Emmanuel Farhi (Harvard University and CEPR) and Michael Woodford (Columbia University and CEPR) have confirmed their attendance.
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.
