| Asymptotic Theory for Econometricians Revised Edition Contributor(s): White, Halbert (Author) |
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ISBN: 0127466525 ISBN-13: 9780127466521 Publisher: Academic Press OUR PRICE: $143.44 Product Type: Hardcover - Other Formats Published: October 2000 Annotation: 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. Key Features * Completely revised Chapter Seven on functional central limit theory and its applications, specifically unit root regression, spurious regression, and regression with cointegrated processes * Updated material on: * Central limit theory * Asymptotically efficient instrumental variables estimation * Estimation of asymptotic covariance matrices * Efficient estimation with estimated error covariance matrices * Efficient IV estimation |
| Additional Information |
| BISAC Categories: - Business & Economics | Econometrics - Business & Economics | Economics - Theory |
| Dewey: 330.015 |
| LCCN: 00107735 |
| Series: Economic Theory, Econometrics, & Mathematical Economics |
| Physical Information: 0.8" H x 6.1" W x 9" (1.10 lbs) 264 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |