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Identification and Inference for Econometric Models

Identification and Inference for Econometric Models Essays in Honor of Thomas Rothenberg

Hardback (13 Oct 2005)

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Publisher's Synopsis

This 2005 volume contains the papers presented in honor of the lifelong achievements of Thomas J. Rothenberg on the occasion of his retirement. The authors of the chapters include many of the leading econometricians of our day, and the chapters address topics of current research significance in econometric theory. The chapters cover four themes: identification and efficient estimation in econometrics, asymptotic approximations to the distributions of econometric estimators and tests, inference involving potentially nonstationary time series, such as processes that might have a unit autoregressive root, and nonparametric and semiparametric inference. Several of the chapters provide overviews and treatments of basic conceptual issues, while others advance our understanding of the properties of existing econometric procedures and/or propose others. Specific topics include identification in nonlinear models, inference with weak instruments, tests for nonstationary in time series and panel data, generalized empirical likelihood estimation, and the bootstrap.

About the Publisher

Cambridge University Press

Cambridge University Press dates from 1534 and is part of the University of Cambridge. We further the University's mission by disseminating knowledge in the pursuit of education, learning and research at the highest international levels of excellence.

Book information

ISBN: 9780521844413
Publisher: Cambridge University Press
Imprint: Cambridge University Press
Pub date:
DEWEY: 330.015195
DEWEY edition: 22
Language: English
Number of pages: 573
Weight: 932g
Height: 229mm
Width: 152mm
Spine width: 37mm