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Estimating Nonlinear Dynamic Equilibrium economies: A Likelihood Approach Author info | Abstract | Publisher info | Download info | Related research | Statistics Jesus Fernandez-Villaverde () (Department of Economics, University of Pennsylvania)
Juan F. Rubio-Ramirez () (Federal Reserve Bank of Atlanta)
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This paper presents a framework to undertake likelihood-based inference in nonlinear dynamic equilibrium economies. We develop a Sequential Monte Carlo algorithm that delivers an estimate of the likelihood function of the model using simulation methods. This likelihood can be used for parameter estimation and for model comparison. The algorithm can deal both with nonlinearities of the economy and with the presence of non-normal shocks. We show consistency of the estimate and its good performance in finite simulations. This new algorithm is important because the existing empirical literature that wanted to follow a likelihood approach was limited to the estimation of linear models with Gaussian innovations. We apply our procedure to estimate the structural parameters of the neoclassical growth model.
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Paper provided by Penn Institute for Economic Research, Department of Economics, University of Pennsylvania in its series PIER Working Paper Archive with number
04-001.
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Length: 56 pages
Date of creation: 06 Jan 2004Date of revision:
Handle: RePEc:pen:papers:04-001Contact details of provider: Postal: 3718 Locust Walk, Philadelphia, PA 19104 Phone: 215-898-9992 Fax: 215-573-2378 Email: Web page: http://economics.sas.upenn.edu/pier More information through EDIRC
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Keywords: Likelihood-Based Inference ; Dynamic Equilibrium Economies ; Nonlinear Filtering ; Sequential Monte Carlo) ; Other versions of this item:
Find related papers by JEL classification: C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods
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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.: S. Boragan Aruoba & Jesus Fernandez-Villaverde & Juan Francisco Rubio-Ramirez, 2003.
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Other versions:
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Levine's Bibliography
122247000000000855, UCLA Department of Economics.
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