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Optimal Control and Stochastic Simulation of Large Nonlinear Models with Rational Expectations

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  • Ray Fair

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Abstract

This paper presents a computationally fesible procedure for the optimalcontrol and stochastic simulation of large nonlinear models with rationalexpectations under the assumption of certainty equivalence. Copyright Kluwer Academic Publishers 2003

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Bibliographic Info

Article provided by Society for Computational Economics in its journal Computational Economics.

Volume (Year): 21 (2003)
Issue (Month): 3 (June)
Pages: 245-256

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Handle: RePEc:kap:compec:v:21:y:2003:i:3:p:245-256

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Web page: http://www.springerlink.com/link.asp?id=100248
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Keywords: optimal control; stochastic simulation; rational expectations;

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References

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  1. Peter Isard & Douglas Laxton & Ann-Charlotte Eliasson, 1999. "Simple Monetary Policy Rules Under Model Uncertainty," Computing in Economics and Finance 1999 841, Society for Computational Economics.
  2. Martin Feldstein & James H. Stock, 1993. "The Use of Monetary Aggregate to Target Nominal GDP," NBER Working Papers 4304, National Bureau of Economic Research, Inc.
  3. Binder, Michael & Pesaran, M Hashem & Samiei, S Hossein, 2000. "Solution of Nonlinear Rational Expectations Models with Applications to Finite-Horizon Life-Cycle Models of Consumption," Computational Economics, Society for Computational Economics, vol. 15(1-2), pages 25-57, April.
  4. Richard Clarida & Jordi Gali & Mark Gertler, 1998. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," NBER Working Papers 6442, National Bureau of Economic Research, Inc.
  5. Andrew Levin & Volker Wieland & John C. Williams, 1998. "Robustness of Simple Monetary Policy Rules under Model Uncertainty," NBER Working Papers 6570, National Bureau of Economic Research, Inc.
  6. Robert E. Hall & N. Gregory Mankiw, 1994. "Nominal Income Targeting," NBER Chapters, in: Monetary Policy, pages 71-94 National Bureau of Economic Research, Inc.
  7. John P. Judd & Brian Motley, 1993. "Using a nominal GDP rule to guide discretionary monetary policy," Economic Review, Federal Reserve Bank of San Francisco, pages 3-11.
  8. Ray C. Fair & John B. Taylor, 1989. "Full Information Estimation and Stochastic Simulation of Models with Rational Expectations," Cowles Foundation Discussion Papers 921, Cowles Foundation for Research in Economics, Yale University.
  9. Hans M. Amman & David A. Kendrick, 1997. "Linear Quadratic Optimization for Models with Rational Expectations," Tinbergen Institute Discussion Papers 97-102/2, Tinbergen Institute.
  10. Dean Croushore & Tom Stark, 1995. "Evaluating McCallum's rule for monetary policy," Business Review, Federal Reserve Bank of Philadelphia, issue Jan, pages 3-14.
  11. Todd E. Clark, 1994. "Nominal GDP targeting rules: can they stabilize the economy?," Economic Review, Federal Reserve Bank of Kansas City, issue Q III, pages 11-25.
  12. Ray C. Fair & John B. Taylor, 1980. "Solution and Maximum Likelihood Estimation of Dynamic Nonlinear RationalExpectations Models," NBER Technical Working Papers 0005, National Bureau of Economic Research, Inc.
  13. Glenn D. Rudebusch, 1999. "Is the Fed too timid? Monetary policy in an uncertain world," Working Papers in Applied Economic Theory 99-05, Federal Reserve Bank of San Francisco.
  14. John B. Taylor, 1999. "Monetary Policy Rules," NBER Books, National Bureau of Economic Research, Inc, number tayl99-1, October.
  15. Fair, Ray C. & Howrey, E. Philip, 1996. "Evaluating alternative monetary policy rules," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 173-193, October.
  16. Taylor, John B., 1985. "What would nominal GNP targetting do to the business cycle?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 22(1), pages 61-84, January.
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Cited by:
  1. Anderson, Evan W. & Hansen, Lars Peter & Sargent, Thomas J., 2012. "Small noise methods for risk-sensitive/robust economies," Journal of Economic Dynamics and Control, Elsevier, vol. 36(4), pages 468-500.
  2. Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January.
  3. Fair, Ray C., 2014. "How might a central bank report uncertainty?," Economics Discussion Papers 2014-25, Kiel Institute for the World Economy.
  4. Mihaela SIMIONESCU, 2013. "The Assessment Of Parameter Uncertainty In A Vector Error Correction Model For Romania," Romanian Journal of Economics, Institute of National Economy, vol. 37(2(46)), pages 124-134, December.
  5. Charemza, Wojciech & Makarova, Svetlana & Prytula, Yaroslav & Raskina, Julia & Vymyatnina, Yulia, 2009. "A small forward-looking inter-country model (Belarus, Russia and Ukraine)," Economic Modelling, Elsevier, vol. 26(6), pages 1172-1183, November.
  6. Luisa Corrado & Sean Holly, 2006. "The Linearisation and Optimal Control of Large Non-Linear Rational Expectations Models by Persistent Excitation," Computational Economics, Society for Computational Economics, vol. 28(2), pages 139-153, September.

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