Evaluating the sample likelihood of linearized DSGE models without the use of the Kalman filter
AbstractThis paper derives a method for constructing the likelihood function of a general class of linearized dynamic general equilibrium models that does not require the application of the Kalman filter. The method easily handles models in which variables are observed with error.
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 109 (2010)
Issue (Month): 3 (December)
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Web page: http://www.elsevier.com/locate/ecolet
DSGE models Likelihood function;
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- Schmitt-Grohe, Stephanie & Uribe, Martin, 2004.
"Solving dynamic general equilibrium models using a second-order approximation to the policy function,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 28(4), pages 755-775, January.
- Stephanie Schmitt-Grohe & Martin Uribe, 2002. "Solving Dynamic General Equilibrium Models Using a Second-Order Approximation to the Policy Function," NBER Technical Working Papers 0282, National Bureau of Economic Research, Inc.
- Schmitt-Grohé, Stephanie & Uribe, Martín, 2001. "Solving Dynamic General Equilibrium Models Using a Second-Order Approximation to the Policy Function," CEPR Discussion Papers 2963, C.E.P.R. Discussion Papers.
- Stephanie Schmitt-Grohe & Martin Uribe, 2001. "Solving Dynamic General Equilibrium Models Using a Second-Order Approximation to the Policy Function," Departmental Working Papers 200106, Rutgers University, Department of Economics.
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