An edition of Advanced Econometrics (1985)

Advanced Econometrics

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Last edited by MARC Bot
March 2, 2020 | History
An edition of Advanced Econometrics (1985)

Advanced Econometrics

  • 6 Want to read

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.
source: http://www.hup.harvard.edu/catalog.php?isbn=

Publish Date
Language
English
Pages
521

Buy this book

Previews available in: English

Edition Availability
Cover of: Advanced Econometrics
Advanced Econometrics
1996, Harvard University Press
Hardcover in English - 7th printing
Cover of: Advanced econometrics.
Advanced econometrics.
1987, Blackwell
in English - New ed.
Cover of: Advanced econometrics
Advanced econometrics
1986, Basil Blackwell
in English
Cover of: Advanced Econometrics
Advanced Econometrics
1985, Harvard University Press
Hardcover in English
Cover of: Advanced econometrics
Advanced econometrics
1985, Blackwell
in English
Cover of: Advanced econometrics
Advanced econometrics
1985, Harvard University Press
in English

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Book Details


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

Edition Notes

Bibliography: p. [475]-504.
Includes indexes.

Published in
Cambridge, MA, USA
Copyright Date
1985

Classifications

Dewey Decimal Class
330/.028
Library of Congress
HB139 .A5 1985

The Physical Object

Format
Hardcover
Pagination
vi, 521 p. ;
Number of pages
521

ID Numbers

Open Library
OL3020692M
Internet Archive
advancedeconomet00amem
ISBN 10
0674005600
ISBN 13
9780674005600
LCCN
85000845
OCLC/WorldCat
0674005600, 852947026, 915813816
Library Thing
758126
Goodreads
47194222

Work Description

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.
(source)

Excerpts

In this chapter we shall consider the basic results of a statistical inference in the classical linear regression model--the model in which the regressors are independent of the error term and the error term is serially uncorrelated and has a constant variance.
added by Lisa.

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Download catalog record: RDF / JSON
March 2, 2020 Edited by MARC Bot remove fake subjects
July 25, 2019 Edited by Lisa Added new cover
July 25, 2019 Edited by Lisa Update covers
July 25, 2019 Edited by Lisa Edited without comment.
December 10, 2009 Created by WorkBot add works page