Asymptotic Theory for Econometricians
Format:Hardback
Publisher:Emerald Publishing Limited
Should be back in stock very soon
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
An econometric estimator is a solution to an optimization problem. This book provides the tools and concepts necessary to study the behavior of econometric estimators and test statistics in large samples.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.
ISBN: 9780127466521
Dimensions: 229mm x 152mm x 18mm
Weight: 554g
264 pages
2nd edition