General concepts, estimation, prediction, and algorithms
Author(s)
Bibliographic Information
General concepts, estimation, prediction, and algorithms
（Themes in modern econometrics, . Statistics and econometric models ; v. 1）
Cambridge University Press, 1995
- : hbk
- : pbk
- Other Title
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Statistique et modèles économétriques
Available at 79 libraries
Note
Translation of: Statistique et modèles économétriques, v. 1
Originally published in French by Économica, 1989
Includes bibliographical references and index
Description and Table of Contents
Description
This is the first volume in a major two-volume set of advanced texts in econometrics. It is essentially a text in statistics which is adapted to deal with economic phenomena. Christian Gourieroux and Alain Monfort have written a text which synthesises a great deal of material scattered across a variety of books and journals. They present both the basic and the more sophisticated statistical models which are crucial to an understanding of econometric models, and have taken care to employ mathematical tools with which a majority of students with a basic course in econometrics will be familiar. One of the most attractive features of the books is the liberal use throughout of real-world economic examples. They are also distinctive for their emphasis on promoting an intuitive understanding of the models and results at the expense of overly technical discussions.
Table of Contents
- Preface
- 1. Models
- 2. Statistical problems and decision theory
- 3. Statistical information: classical approach
- 4. Bayesian interpretations of sufficiency, ancillarity and identification
- 5. Elements of estimation theory
- 6. Unbiased estimation
- 7. Maximum likelihood estimation
- 8. M-estimation
- 9. Methods of moments and their generalizations
- 10. Estimation under equality constraints
- 11. Prediction
- 12. Bayesian estimation
- 13. Numerical procedures.
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