This paper investigates an international monetary business-cycle model in which agents face monetary policy processes that incorporate regime shifts. In any period, agents cannot directly observe the policy regime, but, instead, form beliefs that are updated through Bayesian learning. Monetary policy processes for the U.S. and an aggregate of OECD countries are estimated using Hamilton's maximum likelihood, Markov-switching procedure. The dynamic, general equilibrium open-economy model that we construct is solved by numerical approximation and parameterized using, in part, estimates of the policy processes which allow for calibration of the belief process employed by agents in the model. Quantiative properties of data drawn from simulations of the model are compared with properties of data drawn from actual economies on exchange rates and key macroeconomic variables.
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
David Andolfatto & Paul Gomme, 2003.
"Monetary Policy Regimes and Beliefs,"
International Economic Review,
Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(1), pages 1-30, February.
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Maurice Obstfeld & Kenneth Rogoff, 1998.
"Risk and Exchange Rates,"
NBER Working Papers
6694, National Bureau of Economic Research, Inc.
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Other versions:
Obstfeld, M., 1998.
"Risk and Exchange Rate,"
Papers
193, Princeton, Woodrow Wilson School - Public and International Affairs.
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