Product Description

This new edition of this established textbook reflects the rapid developments in the field covering the vast research that has been conducted on panel data since its initial publication. The book is packed with the most recent empirical examples from panel data literature, for example, a simultaneous equation on Crime will be added to chapter 7, which will be illustrated with STATA. Data sets will be provided as well as the programs to implement the estimation and testing procedures described in the book on the web site. Additional exercises will be added to each chapter and their solutions will be provided on the web site.

The text has also been fully updated with new material on dynamic panel data models and recent results on non-linear panel models and in particular work on limited dependent variables panel data models.

Product Details

• Amazon Sales Rank: #895583 in Books
• Published on: 2005-07-18
• Original language: English
• Number of items: 1
• Binding: Paperback
• 314 pages

Review
"This is a definitive book written by one of the architects of modern panel data econometrics. It provides both a practical introduction to the subject matter, as well as a thorough discussion of the underlying statistical principles without taxing the reader too greatly. Since it's first publication in 1995, it has quickly become a standard accompanying text in advanced econometrics courses around the world, and a major reference for researchers doing empirical work with longitudinal data."
—Professor Kajal Lahiri, State University of New York, Albany, USA.

From the Back Cover
Econometric Analysis of Panel Data has become established as one of the leading textbooks for students of panel data.

The significantly revised and updated third edition from one of the leading researchers and writers in this field builds upon the success of previous editions, and includes the most recent empirical examples from panel data literature.

Updated topics include dynamic panels, nonstationary panels, limited dependent variable models, heteroskedastic panels, heterogeneous panels and spatial panels.

Other notable features of this third edition:

• The chapter on nonstationary panels has been completely rewritten and updated to include the recent unit root panel tests with cross-section dependence, and an empirical application is given on purchasing power parity, which is illustrated using Eviews.
• An empirical example on nursing labor supply has been added, illustrating limited dependent variables methods with panel data.
• Additional exercises have been added to each chapter and their solutions will be provided on the website. TSP, EViews and Stata output examples are given throughout the book.
• A simultaneous equation on crime has been added and is illustrated with Stata.
• Material on heteroske4dasticity in panels is completely revised and updated with recent estimation and testing results.

About the Author
Badi H. Baltagi is distinguished Professor of Economics and Senior Research Asssociate at the Center for Policy Research at Syracuse University. He was previously at TexasA&M University and the University of Houston. He is the author of Econometric Analysis of Panel Data and Econometrics and editor of A Companion to Theoretical Econometrics; Recent Developments in the Econometrics of Panel Data, Volumes I and II; Nonstationary Panels, Panel Cointegration, and Dynamic Panels; and author or co-author of over 100 publications, all in leading economics and statistics journals. Professor Baltagi is co-editor of Empirical Economics, and associate editor of Journal of Econometrics and Econometric Reviews. He is the replication editor of the Journal of Applied Econometrics and the series editor for Contributions to Economic Analysis. He is a fellow of the Journal of Econometrics and a recipient of the Plura Scripsit Award from Econometric Theory.

Customer Reviews

It is not so bad after all
The review posted by the anonymous reader from CT seems a little too harsh to me. The book offers a decent overview over many interesting areas of panel data. In particular, one and two way error components are discussed, one chapter is devoted to hypotheses testing, heteroscedasticity and serial correlation and dynamic panel data models respectively. However it is true, that the authour does not provide much help to understand the literature which is just reproduced (often word by word from the papers!). The book is not recommended to someone who wants to read about Panel Data but doesn't have a lot of knowledge about the subject yet.

Still no acceptable book about Panel Data
To say that this book is scandalous would only be a mere exaggeration. Instead of clarifying the literature on Panel Data, the author just sums up some papers (often citing them word by word; why bother then buying a book? Just copy the articles!) without adding any value to them. Even worse, while summarizing, the essence of the papers often goes missing. The only value of the book consists of a quite complete reference list of the literature up to 1994. (However, the list is of course a little biased in favor of the author. He mentions every minuscule and unimportant publication of himself. One could almost get the impression that he contributed to Panel Data) Expecting a book that provides the main ideas and clarifies them together with a clear notation and proofs of the result, I was very disappointed with Badi Baltagi's book! Not recommended at all! (Unfortunately there is no alternative I know of!)

Basically flawed
I have not read the second edition of this book, but my experience of the first edition when reading for my economics doctorate was that it was not an easy book to use. In particular, it had a rather ideosyncratic view of the literature. Certainly, it is curious that there are two pages of references to the Author's work and less that one of Maddala, Arrelano, Bond, Pesaran and Smith combined.

I found that "Analysis of Panel Data" by Cheng Hsiao combined with a few choice papers was a more useful strategy. The first edition of Hsiao has been a classic since it was released in the mid eighties and dispite it being an Econometric Society monograph, is much clearer and easier to understand. It has now been updated to include dynamic and discrete response models and will, I believe, remain the classic Panel Data text for years to come, although I have not read Arellano's book.