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Computing Second-Order-Accurate Solutions for Rational Expectation Models Using Linear Solution Methods Author info | Abstract | Publisher info | Download info | Related research | Statistics Giovanni Lombardo ()
Alan Sutherland ()
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This paper shows how to compute a second-order accurate solution of a non-linear rational expectation model using algorithms developed for the solution of linear rational expectation models. This result is a state-space representation for the realized values of the variables of the model. This state-space representation can easily be used to compute impulse responses as well as conditional and unconditional forecasts.
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Paper provided by Centre for Dynamic Macroeconomic Analysis in its series CDMA Conference Paper Series with number
0504.
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Date of creation: Mar 2005Date of revision:
Handle: RePEc:san:cdmacp:0504Contact details of provider: Postal: Department of Economics, University of St. Andrews, Fife KY16 9AL Phone: 01334 462420 Fax: 01334 462444 Email: Web page: http://www.st-andrews.ac.uk/cdma More information through EDIRC
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Keywords: Second-order approximation ; solution method for rational expectation models. ; Other versions of this item:
Find related papers by JEL classification: E63 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Comparative or Joint Analysis of Fiscal and Monetary Policy; Stabilization E0 - Macroeconomics and Monetary Economics - - General
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