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Asymptotic Theory for Econometricians

  • 1st Edition - April 1, 1984
  • Latest edition
  • Author: Halbert White
  • Editor: Karl Shell
  • Language: English

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… Read more

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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.

Readership

Graduate students taking courses in Econometrics beyond the introductory level.

Table of contents

Preface.
The Linear Model and Instrumental Variables Estimators.
Consistency.
Laws of Large Numbers.
Asymptotic Normality.
Central Limit Theory.
Estimating Asymptotic Covariance Matrices.
Efficient Estimation with Estimated Error Covariance.
Directions for Further Study.
Solutions Set.
Index.

Product details

  • Edition: 1
  • Latest edition
  • Published: December 6, 2014
  • Language: English

About the editor

KS

Karl Shell

Affiliations and expertise
Cornell University

About the author

HW

Halbert White

Affiliations and expertise
University of California, San Diego, La Jolla, U.S.A.

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