A Companion to Econometric Analysis of Panel Data Second Edition 2026 Edition
Author(s): Badi H. Baltagi (Author)
Publisher: Springer
Publication Date: 5 May 2026
Edition: Second Edition 2026
Language: English
Print length: 427 pages
ISBN-10: 3032096863
ISBN-13: 9783032096869
Book Description
This Second Edition serves as a comprehensive companion to Econometric Analysis of Panel Data by Badi H. Baltagi (2021), now in its 6th edition published by Springer. Designed to support both students and applied researchers, this companion enhances understanding of the textbook’s theoretical foundations, provides detailed solutions to many of its exercises, and offers additional empirical examples drawn from published applications in economics and related fields.
More than just a solutions manual, this volume includes hands-on empirical illustrations using Stata and EViews, making it a practical resource for those applying panel data and spatial panel methods in real-world research. It is ideally suited for advanced undergraduate and graduate courses in econometrics, as well as for practitioners seeking a deeper grasp of the estimation and testing techniques used in panel data analysis.
Panel data econometrics continues to grow in popularity across disciplines―including economics, finance, marketing, political science, sociology, and agricultural economics―driven by the increasing availability of panel datasets, advances in econometric methods, and the development of user-friendly software.
This companion adds value by presenting exercises in a clear, logical, and pedagogical manner. While closely aligned with the structure and content of Baltagi (2021), the material is self-contained and can be used independently to build foundational knowledge in panel data econometrics.
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From the Back Cover
This Second Edition serves as a comprehensive companion to Econometric Analysis of Panel Data by Badi H. Baltagi (2021), now in its 6th edition published by Springer. Designed to support both students and applied researchers, this companion enhances understanding of the textbook’s theoretical foundations, provides detailed solutions to many of its exercises, and offers additional empirical examples drawn from published applications in economics and related fields.
More than just a solutions manual, this volume includes hands-on empirical illustrations using Stata and EViews, making it a practical resource for those applying panel data and spatial panel methods in real-world research. It is ideally suited for advanced undergraduate and graduate courses in econometrics, as well as for practitioners seeking a deeper grasp of the estimation and testing techniques used in panel data analysis.
Panel data econometrics continues to grow in popularity across disciplines—including economics, finance, marketing, political science, sociology, and agricultural economics—driven by the increasing availability of panel datasets, advances in econometric methods, and the development of user-friendly software.
This companion adds value by presenting exercises in a clear, logical, and pedagogical manner. While closely aligned with the structure and content of Baltagi (2021), the material is self-contained and can be used independently to build foundational knowledge in panel data econometrics.
About the Author
Badi H. Baltagi is a Distinguished Professor of Economics and Senior Research Associate at the Center for Policy Research, Maxwell School, Syracuse University. He has served as Editor of Economics Letters (2011–2021), Empirical Economics (1999–2018), and as Replication Editor for the Journal of Applied Econometrics (2003–2018).
Professor Baltagi is a Fellow of both the Journal of Econometrics and Econometric Reviews, and has received several prestigious honors, including the Multa Scripsit and Plura Scripsit Awards from Econometric Theory, and the Distinguished Author Award from the Journal of Applied Econometrics.
He currently serves as Associate Editor for Econometric Reviews and Econometrics and Statistics, and is Series Editor for Advanced Studies in Theoretical and Applied Econometrics. His contributions to econometrics, particularly in panel data analysis, have been widely recognized and influential across academia and applied research.
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