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Linear Quadratic Optimization for Models with Rational Expectations Author info | Abstract | Publisher info | Download info | Related research | Statistics Hans M. Amman (University of Amsterdam)
David A. Kendrick (University of Texas, USA)
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In this paper we present a method for using rational expectations in a linear-quadratic optimization framework. Following the approach put forward by Sims, we solve the model through a QZ decomposition, which is generally easier to implement than the more widely used method of Blanchard and Kahn.
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Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number
97-102/2.
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Date of creation: 09 Oct 1997Date of revision:
Handle: RePEc:dgr:uvatin:19970102Contact details of provider: Web page: http://www.tinbergen.nl/
For technical questions regarding this item, or to correct its listing, contact: (Walther Schoonenberg).
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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.: Amman, Hans M. & Kendrick, David A. & Achath, Sudhakar, 1995.
"Solving stochastic optimization models with learning and rational expectations ,"
Economics Letters ,
Elsevier, vol. 48(1), pages 9-13, April.
[Downloadable!] (restricted)
Hans M. Amman & David A. Kendrick, 1997.
"Computing the Steady State of Linear Quadratic Optimization Models with Rational Expectations ,"
Economics, University of Texas at Austin
9707, Center for Applied Research in Economics.
[Downloadable!]
Other versions: Hans M. Amman & David A. Kendrick, 1996.
"The DUALI/DUALPC Software for Optimal Control Models: Introduction ,"
Economics, University of Texas at Austin
9602, Center for Applied Research in Economics.
[Downloadable!]
Fisher, P. G. & Holly, S. & Hughes Hallett, A. J., 1986.
"Efficient solution techniques for dynamic non-linear rational expectations models ,"
Journal of Economic Dynamics and Control ,
Elsevier, vol. 10(1-2), pages 139-145, June.
[Downloadable!] (restricted)
Amman, Hans M., 1990.
"Implementing stochastic control software on supercomputing machines ,"
Journal of Economic Dynamics and Control ,
Elsevier, vol. 14(2), pages 265-279, May.
[Downloadable!] (restricted)
Hans M. Amman & David A. Kendrick, .
"Computational Economics ,"
Online economics textbooks ,
SUNY-Oswego, Department of Economics, number comp1, December.
[Downloadable!]
Blanchard, Olivier Jean & Kahn, Charles M, 1980.
"The Solution of Linear Difference Models under Rational Expectations ,"
Econometrica ,
Econometric Society, vol. 48(5), pages 1305-11, July.
[Downloadable!] (restricted)
Amman, Hans M. & Neudecker, Heinz, 1997.
"Numerical solutions of the algebraic matrix Riccati equation ,"
Journal of Economic Dynamics and Control ,
Elsevier, vol. 21(2-3), pages 363-369.
[Downloadable!] (restricted)
Kydland, Finn E & Prescott, Edward C, 1977.
"Rules Rather Than Discretion: The Inconsistency of Optimal Plans ,"
Journal of Political Economy ,
University of Chicago Press, vol. 85(3), pages 473-91, June.
[Downloadable!] (restricted)
Anderson, Gary & Moore, George, 1985.
"A linear algebraic procedure for solving linear perfect foresight models ,"
Economics Letters ,
Elsevier, vol. 17(3), pages 247-252.
[Downloadable!] (restricted)
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references Cited by : (explanations , 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.)
Hans M. Amman & David A. Kendrick, 1997.
"Computing the Steady State of Linear Quadratic Optimization Models with Rational Expectations ,"
Economics, University of Texas at Austin
9707, Center for Applied Research in Economics.
[Downloadable!]
Other versions: Pedro Francisco Páez, 2005.
"Are the Washington Consensus Policies Sustainable? Game Theoretical Assessment for the Case of Ecuador ,"
Working Paper Series, Department of Economics, University of Utah
2005_07, University of Utah, Department of Economics.
[Downloadable!]
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