Simulation analysis of dynamic stochastic models: Applications to theory and estimation
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Cited by:
- John Duffy & Paul D. McNelis, "undated".
"Approximating and Simulating the Real Business Cycle: Linear Quadratic Methods, Parameterized Expectations and Genetic Algorithms,"
Computing in Economics and Finance 1997
63, Society for Computational Economics.
- Paul McNelis & John Duffy, 1997. "Approximating and Simulating the Real Business Cycle: Linear Quadratic Methods, Parameterized Expectations, and Genetic Algorithms," Macroeconomics 9706001, University Library of Munich, Germany.
- Willi Semmler & Lars Grüne, 2004. "Asset Pricing with Delayed Consumption Decisions," Computing in Economics and Finance 2004 59, Society for Computational Economics.
- Alexander Ludwig, 2005. "Moment estimation in Auerbach-Kotlikoff models: How well do they match the data?," MEA discussion paper series 05093, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
- Fabio Canova & Eva Ortega, 1996. "Testing calibrated general equilibrium models," Economics Working Papers 166, Department of Economics and Business, Universitat Pompeu Fabra.
- Alfonso Novales & Javier J. PÈrez, 2004.
"Is It Worth Refining Linear Approximations to Non-Linear Rational Expectations Models?,"
Computational Economics, Springer;Society for Computational Economics, vol. 23(4), pages 343-377, June.
- Alfonso Novales & Javier J. Pérez, 2002. "Is it Worth Refining Linear Approximations to Non-Linear Rational Expectations Models?," Economic Working Papers at Centro de Estudios Andaluces E2002/15, Centro de Estudios Andaluces.
- Lim, G.C. & McNelis, Paul D., 2007.
"Inflation targeting, learning and Q volatility in small open economies,"
Journal of Economic Dynamics and Control, Elsevier, vol. 31(11), pages 3699-3722, November.
- G. C. Lim & Paul D. McNelis, 2006. "Inflation Targeting, Learning and Q Volatility in Small Open Economies," Melbourne Institute Working Paper Series wp2006n22, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
- Paul D. McNelis & Guay Lim, 2006. "Inflation Targeting, Learning and Q Volatility in Small Open Economies," Computing in Economics and Finance 2006 104, Society for Computational Economics.
- Duffy, John & McNelis, Paul D., 2001.
"Approximating and simulating the stochastic growth model: Parameterized expectations, neural networks, and the genetic algorithm,"
Journal of Economic Dynamics and Control, Elsevier, vol. 25(9), pages 1273-1303, September.
- Paul McNelis & John Duffy, 1998. "Approximating and Simulating the Stochastic Growth Model: Parameterized Expectations, Neural Networks, and the Genetic Algorithm," GE, Growth, Math methods 9804004, University Library of Munich, Germany, revised 14 May 1998.
- Javier J. Pérez, 2004.
"A Log-Linear Homotopy Approach to Initialize the Parameterized Expectations Algorithm,"
Computational Economics, Springer;Society for Computational Economics, vol. 24(1), pages 59-75, August.
- Javier J. Pérez, 2001. "A Log-linear Homotopy Approach to Initialize the Parameterized Expectations Algorithm," Economic Working Papers at Centro de Estudios Andaluces E2001/02, Centro de Estudios Andaluces.
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