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Identification and Inference for Eco...
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Andrews, Donald W. K.
Identification and Inference for Econometric Models :Essays in Honor of Thomas Rothenberg.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Identification and Inference for Econometric Models :
Reminder of title:
Essays in Honor of Thomas Rothenberg.
Author:
Andrews, Donald W. K.
other author:
Stock, James H.
Published:
Cambridge :Cambridge University Press,2005.
Description:
589 p.
Online resource:
Click here to view book
ISBN:
9780511614491 (electronic bk.)
Identification and Inference for Econometric Models :Essays in Honor of Thomas Rothenberg.
Andrews, Donald W. K.
Identification and Inference for Econometric Models :
Essays in Honor of Thomas Rothenberg.[electronic resource]. - Cambridge :Cambridge University Press,2005. - 589 p.
Cover; Half-title; Title; Copyright; Contents; List of Contributors; Preface; PART I IDENTIFICATION AND EFFICIENT ESTIMATION; PART III INFERENCE INVOLVING POTENTIALLY NONSTATIONARY TIME SERIES; PART IV NONPARAMETRIC AND SEMIPARAMETRIC INFERENCE
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.
Electronic reproduction.
Available via World Wide Web.
Mode of access: World Wide Web.
ISBN: 9780511614491 (electronic bk.)Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: HB141 . / I143 2005
Dewey Class. No.: 330/.01/5195
Identification and Inference for Econometric Models :Essays in Honor of Thomas Rothenberg.
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589 p.
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Cover; Half-title; Title; Copyright; Contents; List of Contributors; Preface; PART I IDENTIFICATION AND EFFICIENT ESTIMATION; PART III INFERENCE INVOLVING POTENTIALLY NONSTATIONARY TIME SERIES; PART IV NONPARAMETRIC AND SEMIPARAMETRIC INFERENCE
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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.
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Click here to view book
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http://dx.doi.org/10.1017/CBO9780511614491
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EB HB141 I143 2005
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http://dx.doi.org/10.1017/CBO9780511614491
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