Estimating the State Vector of Linearized DSGE Models without the Kalman Filter
This note presents a simple method for estimating the state vector of linearized DSGE models without using the Kalman filter. The conditional covariance matrix of the state vector is also derived. The method can easily cope with filtered data, and with arbitrary patterns of missing observations.
(This abstract was borrowed from another version of this item.)
|Date of creation:||Jan 2013|
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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.
- 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.
- 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.
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