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CHAPTER I - The Linear Model and Instrumental Variables Estimators
Pages 1-12 - Book chapterAbstract only
CHAPTER II - Consistency
Pages 13-28 - Book chapterAbstract only
CHAPTER III - Laws of Large Numbers
Pages 29-60 - Book chapterAbstract only
CHAPTER IV - Asymptotic Normality
Pages 61-106 - Book chapterAbstract only
CHAPTER V - Central Limit Theory
Pages 107-131 - Book chapterAbstract only
CHAPTER VI - Estimating Asymptotic Covariance Matrices
Pages 132-161 - Book chapterAbstract only
CHAPTER VII - Efficient Estimation with Estimated Error Covariance Matrices
Pages 162-185 - Book chapterNo access
CHAPTER VIII - Directions For Further Study
Pages 186-190 - Book chapterNo access
Solution Set
Pages 191-223 - Book chapterNo access
Index
Pages 225-228 - Book chapterNo access
ECONOMIC THEORY, ECONOMETRICS, AND MATHEMATICAL ECONOMICS
Pages ibc1-ibc2
About the book
Description
This book is intended to provide a somewhat more comprehensive and unified treatment of large sample theory than has been available previously and to relate the fundamental tools of asymptotic theory directly to many of the estimators of interest to econometricians. In addition, because economic data are generated in a variety of different contexts (time series, cross sections, time series--cross sections), we pay particular attention to the similarities and differences in the techniques appropriate to each of these contexts.
This book is intended to provide a somewhat more comprehensive and unified treatment of large sample theory than has been available previously and to relate the fundamental tools of asymptotic theory directly to many of the estimators of interest to econometricians. In addition, because economic data are generated in a variety of different contexts (time series, cross sections, time series--cross sections), we pay particular attention to the similarities and differences in the techniques appropriate to each of these contexts.
Details
ISBN
978-0-12-746650-7
Language
English
Published
1984
Copyright
Copyright © 1984 Elsevier Inc. All rights reserved.
Imprint
Academic Press