Advanced Econometrics

Advanced Econometrics is both a comprehensive text for graduate students and a reference work for econometricians. It will also be valuable to those doing statistical analysis in the other social sciences. Its main features are a thorough treatment of cross-section models, including qualitative response models, censored and truncated regression models, and Markov and duration models, as well as a rigorous presentation of large sample theory, classical least-squares and generalized least-squares theory, and nonlinear simultaneous equation models.

Although the treatment is mathematically rigorous, the author has employed the theorem-proof method with simple, intuitively accessible assumptions. This enables readers to understand the basic structure of each theorem and to generalize it for themselves depending on their needs and abilities. Many simple applications of theorems are given either in the form of examples in the text or as exercises at the end of each chapter in order to demonstrate their essential points.

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Advanced Econometrics

Advanced Econometrics is both a comprehensive text for graduate students and a reference work for econometricians. It will also be valuable to those doing statistical analysis in the other social sciences. Its main features are a thorough treatment of cross-section models, including qualitative response models, censored and truncated regression models, and Markov and duration models, as well as a rigorous presentation of large sample theory, classical least-squares and generalized least-squares theory, and nonlinear simultaneous equation models.

Although the treatment is mathematically rigorous, the author has employed the theorem-proof method with simple, intuitively accessible assumptions. This enables readers to understand the basic structure of each theorem and to generalize it for themselves depending on their needs and abilities. Many simple applications of theorems are given either in the form of examples in the text or as exercises at the end of each chapter in order to demonstrate their essential points.

103.49 In Stock
Advanced Econometrics

Advanced Econometrics

by Takeshi Amemiya
Advanced Econometrics

Advanced Econometrics

by Takeshi Amemiya

eBook

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Overview

Advanced Econometrics is both a comprehensive text for graduate students and a reference work for econometricians. It will also be valuable to those doing statistical analysis in the other social sciences. Its main features are a thorough treatment of cross-section models, including qualitative response models, censored and truncated regression models, and Markov and duration models, as well as a rigorous presentation of large sample theory, classical least-squares and generalized least-squares theory, and nonlinear simultaneous equation models.

Although the treatment is mathematically rigorous, the author has employed the theorem-proof method with simple, intuitively accessible assumptions. This enables readers to understand the basic structure of each theorem and to generalize it for themselves depending on their needs and abilities. Many simple applications of theorems are given either in the form of examples in the text or as exercises at the end of each chapter in order to demonstrate their essential points.


Product Details

ISBN-13: 9780674251953
Publisher: Harvard University Press
Publication date: 11/07/1985
Sold by: Barnes & Noble
Format: eBook
Pages: 536
File size: 24 MB
Note: This product may take a few minutes to download.

Table of Contents

1. Classical Least Squares Theory

2. Recent Developments in Regression Analysis

3. Large Sample Theory

4. Asymptotic Properties of Extremum Estimators

5. Time Series Analysis

6. Generalized Least Squares Theory

7. Linear Simultaneous Equations Models

8. Nonlinear Simultaneous Equations Models

9. Qualitative Response Models

10. Tobit Models

11. Markov Chain and Duration Models

Appendix 1. Useful Theorems in Matrix Analysis

Appendix 2. Distribution Theory

Notes

References

Name Index

Subject Index

What People are Saying About This

The book provides an excellent overview of modern developments in such major subjects as robust inference, model selection methods, feasible generalized least squares estimation, nonlinear simultaneous systems models, discrete response analysis, and limited dependent variable models.

Charles F. Manski

The book provides an excellent overview of modern developments in such major subjects as robust inference, model selection methods, feasible generalized least squares estimation, nonlinear simultaneous systems models, discrete response analysis, and limited dependent variable models.
Charles F. Manski, University of Wisconsin, Madison

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