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Large-dimensional panel data econome...
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Feng, Qu.
Large-dimensional panel data econometricstesting, estimation and structural changes /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Large-dimensional panel data econometricsby Qu Feng, Chihwa Kao.
Reminder of title:
testing, estimation and structural changes /
Author:
Feng, Qu.
other author:
Kao, Chihwa.
Published:
Singapore :World Scientific,c2021.
Description:
1 online resource (x, 156 p.)
Subject:
Econometrics.
Online resource:
https://www.worldscientific.com/worldscibooks/10.1142/11842#t=toc
ISBN:
9789811220784$q(ebook)
Large-dimensional panel data econometricstesting, estimation and structural changes /
Feng, Qu.
Large-dimensional panel data econometrics
testing, estimation and structural changes /[electronic resource] :by Qu Feng, Chihwa Kao. - 1st ed. - Singapore :World Scientific,c2021. - 1 online resource (x, 156 p.)
Includes bibliographical references and index.
Preface -- About the authors -- Introduction -- Tests for cross-sectional dependence in fixed effects panel data models -- Factor augmented panel data regression models -- Structural changes in panel data models -- Latent-grouped structure in panel data models -- Bibliography -- Index.
"This book aims to fill the gap between panel data econometrics textbooks, and the latest development on "big data", especially large-dimensional panel data econometrics. It introduces important research questions in large panels, including testing for cross-sectional dependence, estimation of factor-augmented panel data models, structural breaks in panels and group patterns in panels. To tackle these high dimensional issues, some techniques used in Machine Learning approaches are also illustrated. Moreover, the Monte Carlo experiments, and empirical examples are also utilised to show how to implement these new inference methods. Large-Dimensional Panel Data Econometrics: Testing, Estimation and Structural Changes also introduces new research questions and results in recent literature in this field"--Publisher's website.
Mode of access: World Wide Web.
ISBN: 9789811220784$q(ebook)Subjects--Topical Terms:
182271
Econometrics.
LC Class. No.: HB139 / .F46 2021
Dewey Class. No.: 330.015195
Large-dimensional panel data econometricstesting, estimation and structural changes /
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Large-dimensional panel data econometrics
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testing, estimation and structural changes /
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by Qu Feng, Chihwa Kao.
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Singapore :
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World Scientific,
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c2021.
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1 online resource (x, 156 p.)
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Includes bibliographical references and index.
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Preface -- About the authors -- Introduction -- Tests for cross-sectional dependence in fixed effects panel data models -- Factor augmented panel data regression models -- Structural changes in panel data models -- Latent-grouped structure in panel data models -- Bibliography -- Index.
520
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"This book aims to fill the gap between panel data econometrics textbooks, and the latest development on "big data", especially large-dimensional panel data econometrics. It introduces important research questions in large panels, including testing for cross-sectional dependence, estimation of factor-augmented panel data models, structural breaks in panels and group patterns in panels. To tackle these high dimensional issues, some techniques used in Machine Learning approaches are also illustrated. Moreover, the Monte Carlo experiments, and empirical examples are also utilised to show how to implement these new inference methods. Large-Dimensional Panel Data Econometrics: Testing, Estimation and Structural Changes also introduces new research questions and results in recent literature in this field"--Publisher's website.
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Mode of access: World Wide Web.
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System requirements: Adobe Acrobat Reader.
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Description based on print version record.
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Econometrics.
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182271
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Panel analysis.
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Kao, Chihwa.
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https://www.worldscientific.com/worldscibooks/10.1142/11842#t=toc
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1圖書
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EB HB139 .F46 2021 c2021
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https://www.worldscientific.com/worldscibooks/10.1142/11842#t=toc
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