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Large-dimensional panel data econome...
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Feng, Qu.
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Large-dimensional panel data econometrics = testing, estimation and structural changes /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Large-dimensional panel data econometrics/ by Qu Feng, Chihwa Kao.
其他題名:
testing, estimation and structural changes /
作者:
Feng, Qu.
其他作者:
Kao, Chihwa.
出版者:
Singapore :World Scientific, : c2021.,
面頁冊數:
1 online resource (x, 156 p.)
內容註:
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.
標題:
Econometrics. -
電子資源:
https://www.worldscientific.com/worldscibooks/10.1142/11842#t=toc
ISBN:
9789811220784
Large-dimensional panel data econometrics = testing, 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: 9789811220784Subjects--Topical Terms:
542934
Econometrics.
LC Class. No.: HB139 / .F46 2021
Dewey Class. No.: 330.015195
Large-dimensional panel data econometrics = testing, estimation and structural changes /
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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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https://www.worldscientific.com/worldscibooks/10.1142/11842#t=toc
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