Economic policy

Global Perspectives on Economic Policy

Guest

Gianni Amisano is chief of the Current Macroeconomic Conditions Section of the Research and Statistics Division of the Board of Governors of the Federal Reserve System. He is also a senior researcher at the Center for Economic Analysis in Rimini.

Amisano’s main research interests include Bayesian inferential techniques, financial time series models, structural VAR models, mixture models and their applications, econometric forecasting, time-varying parameter models, data from panel and estimation of DSGE models.

Disclaimer: All views expressed by Gianni Amisano are his own and do not necessarily represent the views of the Federal Reserve System.

Hosts
  • Professor Mariano Kulish, Professor of Macroeconomics, University of Sydney
  • Professor James Morley, Professor of Macroeconomics, University of Sydney
  • Dr Christopher Gibbs, Senior Lecturer, University of Sydney; Economic Research Advisor, Reserve Bank of Australia
About the podcast

How do machine and human intelligence differ when making economic forecasts? What are the main strengths and weaknesses of the macroeconomic models the Fed uses today? Gianni Amisano, head of the current macroeconomic conditions section of the Federal Reserve Board, explains how the right balance between man and machine depends, among other things, on whether we want point or density forecasts, specific uncertainty we face and how quickly we need to update our beliefs. It also offers insight into the usefulness of the “rational expectations” hypothesis and the merits of incorporating financial frictions into macroeconomic models.

Listen to the podcast.

More information

Current Macroeconomic Conditions, Federal Reserve BankUnited States

Data and indicatorsFederal Reserve Bank of New York.