Simulation-Based Econometric Methods (OUP/CORE Lecture Series) - Hardcover

Gouriéroux, Christian; Monfort, Alain

Hardcover

ISBN 10: 0198774753 ISBN 13: 9780198774754

Publisher: Oxford University Press, 1997

Synopsis

This book introduces a new generation of statistical econometrics. After linear models leading to analytical expressions for estimators, and non-linear models using numerical optimization algorithms, the availability of high- speed computing has enabled econometricians to consider econometric models without simple analytical expressions. The previous difficulties presented by the presence of integrals of large dimensions in the probability density functions or in the moments can be circumvented by a simulation-based approach.

After a brief survey of classical parametric and semi-parametric non-linear estimation methods and a description of problems in which criterion functions contain integrals, the authors present a general form of the model where it is possible to simulate the observations. They then move to calibration problems and the simulated analogue of the method of moments, before considering simulated versions of maximum likelihood, pseudo-maximum likelihood, or non-linear least squares. The general principle of indirect inference is presented and is then applied to limited dependent variable models and to financial series.

About this title

About the Author

Christian Gouriéroux is at ENSAE and the University of Paris IX. Alain Monfort is at ENSAE and the École Polytechnique, Paris.

From the Back Cover

Simulation-Based Econometric Methods introduces a new generation of econometric methods in the classical domain. After linear models leading to analytical expressions for estimators and non-linear models using numerical optimization algorithms, the availability of high-speed computing has enabled econometricians to consider econometric models without simple analytical expressions. The previous difficulties presented, for instance, by the presence of integrals of large dimensions in the probability density functions or in the moments can be circumvented by a simulation-based approach.

Edition details

• Publisher: Oxford University Press
• Publication date: 1997
• Language: English
• ISBN 10: 0198774753
• ISBN 13: 9780198774754
• Binding: Hardcover
• Edition number: 1
• Number of pages: 184