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Asymptotic Theory for Econometricians: Revised Edition
(Economic Theory, Econometrics, and Mathematical
Economics) (Economic Theory, Econometrics, &
Mathematical Economics)
BOOK DETAIL
Amazon Business : Save 25% off first $200 of business supplies. Register a free business account Series:
Economic Theory, Econometrics, & Mathematical Economics Hardcover: 264 pages Publisher: Emerald
Publishing; Revised edition (October 11, 2000) Language: English ISBN-10: 0127466525 ISBN-13: 978-
0127466521 Product Dimensions: 6.2 x 0.8 x 9.2 inches
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Book Description
This book provides the tools and concepts necessary to study the behavior of econometric
estimators and test statistics in large samples. An econometric estimator is a solution to an
optimization problem; that is, a problem that requires a body of techniques to determine a specific
solution in a defined set of possible alternatives that best satisfies a selected object function or set
of constraints. Thus, this highly mathematical book investigates situations concerning large
numbers, in which the assumptions of the classical linear model fail. Economists, of course, face
these situations often. It includes completely revised chapter seven on functional central limit
theory and its applications, specifically unit root regression, spurious regression, and regression
with cointegrated processes. It includes updated material on: central limit theory; asymptotically
efficient instrumental variables estimation; estimation of asymptotic covariance matrices; efficient
estimation with estimated error covariance matrices; and efficient IV estimation.

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