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Subject: Economics and Finance  Book Title: Simulation-based Econometric Methods
Simulation-based Econometric Methods
Gouriéroux, Christian Professor of Econometrics, ENSAE and the University of Paris IX
Monfort, Alain Director of CREST, Paris; Professor of Statistics, ENSAE and the École Polytechnique, Paris
Print publication date: 1997
Published to Oxford Scholarship Online: November 2003
Print ISBN-13: 978-0-19-877475-4
doi:10.1093/0198774753.001.0001
 
Abstract: This book deals with a new generation of econometric methods leading to criterion functions without simple analytical expression. The difficulty often comes from the presence of integrals of large dimension in the probability density function or in the moments, and the idea is to circumvent this numerical difficulty by an approach based on simulation. The main methods considered are the methods of Simulated Moments, Simulated Maximum Likelihood, Simulated Pseudo-Maximum Likelihood, Simulated Non-Linear Least Squares, and Indirect Inference. These methods are applied to Limited Dependent Variables Models, to Financial Series, and to Switching Regime Models.

Keywords: Pseudo-Maximum Likelihood, Simulated Indirect Inference, Simulated Non-Linear Least Square
Table of Contents
1. Introduction and Motivations
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2. The Method of Simulated Moments (MSM)
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3. Simulated Maximum Likelihood, Pseudo-Maximum Likelihood, and Nonlinear Least Squares Methods
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4. Indirect Inference
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5. Applications to Limited Dependent Variable Models
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6. Applications to Financial Series
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7. Applications to Switching Regime Models
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Bibliography
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Index
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doi:10.1093/0198774753.001.0001
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