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Panel Data Econometrics
Common Factor Analysis for Empirical Researchers
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Panel Data Econometrics
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
Ideal for applied researchers and graduate students in economics and social sciences who want to enhance their empirical analysis skills with advanced panel data techniques. Particularly suited to those using or planning to use statistical software such as MATLAB, STATA, or GAUSS, with an interest in correct model specification and dealing with cross-sectional dependence.
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In the last 20 years, econometric theory on panel data has developed rapidly, particularly for analyzing common behaviors among individuals over time. Meanwhile the statistical methods employed by researchers have not kept up-to-date. This book attempts to fill this gap, teaching researchers how to use the latest panel estimation methods correctly.
Book Hero Magic formatted this description to make it easier to read. While it's new and
still learning, it may not be perfect - your
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Description
In the last 20 years, econometric theory on panel data has developed rapidly, particularly for analysing common behaviours among individuals over time. Meanwhile, the statistical methods employed by applied researchers have not kept up-to-date. Panel Data Econometrics attempts to fill in this gap by teaching researchers how to use the latest panel estimation methods correctly.
Almost all applied economics articles use panel data or panel regressions. However, many empirical results from typical panel data analyses are not correctly executed. Panel Data Econometrics aims to help applied researchers run panel regressions correctly and avoid common mistakes. The book explains how to model cross-sectional dependence, how to estimate a few key common variables, and how to identify them. It also provides guidance on how to separate out the long-run relationship and common dynamic and idiosyncratic dynamic relationships from a set of panel data.
Aimed at applied researchers who want to learn about panel data econometrics by running statistical software, this book provides clear guidance and is supported by a full range of online teaching and learning materials. It includes practice sections on MATLAB, STATA, and GAUSS throughout, along with short and simple econometric theories on basic panel regressions for those who are unfamiliar with econometric theory on traditional panel regressions.
Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?
Esteemed economists praise this book for its clear exposition and practical relevance. Almas Heshmati, Professor of Economics at JΓΆnkΓΆping University, highlights its success in separating and estimating common factors alongside idiosyncratic error components, complimenting the accompanying codes and applications. Ron Smith from Birkbeck, University of London endorses the use of recent practical factor analysis developments and empirical examples, noting the inclusion of MATLAB, GAUSS, and Stata codes as invaluable tools, describing the work as essential reading for anyone working with panel data.
Book Details
INFORMATION
ISBN: 9781138389663
Publisher: Taylor & Francis Ltd
Format: Hardback
Date Published: 26 February 2019
Country: United Kingdom
Imprint: Routledge
Illustration: 20 Tables, black and white; 28 Line drawings, black and white; 28 Illustrations, black and white
Audience: Tertiary education
DIMENSIONS
Width: 156.0mm
Height: 234.0mm
Weight: 385g
Pages: 150
About the Author
Donggyu Sul is currently the John Kain Professor of Economics at the University of Texas at Dallas, USA. He specializes in panel data econometrics, international finance, and empirical economic growth, and his articles have been published in numerous major research journals.
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