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Learning and Time-Varying Macroeconomic Volatility

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Author Info
Fabio Milani () (Department of Economics, University of California-Irvine)

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Abstract

This paper presents a DSGE model in which agents' learning about the economy can endogenously generate time-varying macroeconomic volatility. Economic agents use simple models to form expectations and need to learn the relevant parameters. Their gain coefficient is endogenous and is adjusted according to past forecast errors. The model is estimated using likelihood-based Bayesian methods. The endogenous gain is jointly estimated with the structural parameters of the system. The estimation results show that private agents appear to have often switched to constant-gain learning, with a high constant gain, during most of the 1970s and until the early 1980s, while reverting to a decreasing gain later on. As a result, the model can generate a pattern of volatility, which is increasing in the 1970s and falling in the second half of the sample, with a decline that can roughly match the magnitude of the Great Moderation. The paper also documents how a failure to incorporate learning into the estimation may lead econometricians to spuriously find time-varying volatility in the exogenous shocks, even when these have constant variance by construction.

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Publisher Info
Paper provided by University of California-Irvine, Department of Economics in its series Working Papers with number 070802.

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Length: 42 pages
Date of creation: May 2007
Date of revision:
Handle: RePEc:irv:wpaper:070802

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Related research
Keywords: Adaptive learning; Constant gain; Monetary policy; Macroeconomic volatility; Inflation dynamics;

Find related papers by JEL classification:
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
E66 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General Outlook and Conditions

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Cited by:
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  1. Paul De Grauwe, 2008. "DSGE-Modelling - when agents are imperfectly informed," Working Paper Series 897, European Central Bank. [Downloadable!]
  2. Evans , George W & Honkapohja, Seppo, 2007. "Robust learning stability with operational monetary policy rules," Research Discussion Papers 31/2007, Bank of Finland. [Downloadable!]
    Other versions:
  3. Paul De Grauwe, 2008. "Animal Spirits and Monetary Policy," CESifo Working Paper Series CESifo Working Paper No. , CESifo Group Munich. [Downloadable!]
  4. Richard Harrison & Haroon Mumtaz & Tony Yates, 2008. " Using time-varying VARs to diagnose the source of ‘Great Moderations’: a Monte Carlo analysis," CDMA Conference Paper Series 0814, Centre for Dynamic Macroeconomic Analysis. [Downloadable!]
  5. Paul De Grauwe, 2008. "Macroeconomic Modeling when Agents are Imperfectly Informed," CESifo Working Paper Series CESifo Working Paper No. , CESifo Group Munich. [Downloadable!]
  6. James B. Bullard & Aarti Singh, 2009. "Learning and the Great Moderation," Working Papers 2007-027, Federal Reserve Bank of St. Louis. [Downloadable!]
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