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.
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).
Professor Kristin Forbes (Monetary Policy Commitee, Bank of England) will talk about "Rethinking Current Account Vulnerabilities" and this will be discussed by Gianluca Benigno (LSE and CEPR),Giancarlo Corsetti (University of Cambridge and CEPR) and Frank Smets (ECB and CEPR). Bank of England will host the event.
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.
In many European economies, the recovery following the financial crisis has proven either sluggish or non-existent. This conference seeks to bring together academics entertaining different views about the likely sources and remedies to the situation.
The recent turbulent times have revived the interest in business cycle analysis, forecasting and methods to assess the effects of economic policies. This, in turn, has generated the development of refined or totally new econometric methods, in particular based on Bayesian techniques. The conference will cover a broad range of econometric themes with emphasis on methodological, theoretical and empirical aspects and their relevance for economic policy making.
Individual households differ along multiple dimensions, e.g., wealth, indebtness, income, education or benefits.Firms also vary in terms of size, productivity or access to credit. Accounting for agents heterogenity can have important implications when studying the impact of economic shocks and effectivness of economic policy. This conference aims to to include both theoretical and empirical contibutions discussing these issues.
The 22nd EABCN training school has been a three days course on 'Macroeconomics and Inequality' taught by professor Per Krusell (Stockholm University) and professor Anthony Smith (Yale University). The course has reviewed the theoretical developments of heterogeneous agents models. The course has covered the empirical literature on inequality in income and wealth.
Activities of international banks have been at the core of discussions on the causes and effects of the international financial crisis. Yet we know little about the actual magnitudes and mechanisms for transmission of liquidity shocks through international banks, including the reasons for heterogeneity in transmission across banks. The International Banking Research Network (IBRN), establishes in 2012, brings together researchers from around the world with access to micro-level data on individual banks to analyse issues pertaining to global banks.
The 22nd EABCN training school will be a three days course on 'Finance and the Macroeconomy' taught by professor Simon Gilchrist (Boston University), The course will cover both the theoretical and empirical issues related to finance and the macroeconomy through the lenses of financial accelerator type models. The training school will take place at the European University Institute, Florence, from the 15th to the 17th of September 2014.
The 20st EABCN training school will be a three days course on 'Financial Econometrics, Macroeconometrics and Predictive Modelling' taught by professor Francis Diebold (University of Pennsylvania). The course will focus on recent developments in measurement, modelling and forecasting in macroeconomic contexts, financial economic contexts and the interface.