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Most Helpful Customer Reviews
16 of 18 people found the following review helpful:
5.0 out of 5 stars
Well worth getting the update,
By The Blue Man (Oxford, OXON England) - See all my reviews
This review is from: Analysis of Panel Data (Econometric Society Monographs) (Paperback)
Cheng Hsiao's 1986 monograph "Analysis of Panel Data" drew the attention of many to the inherent advantages of using longitudinal (ie. panel) data sets, where the same subjects are observed at different periods in time. Substantially as a result of Hsiao's excellent presentation of key issues, the volume of research using panel data increased dramatically during the next fifteen years.It is especially timely that Hsiao has written an updated version of this classic. All the essential concepts from the first edition have been retained; in addition, the author does a very good job of providing coverage of the many advances which have been made in analysis of panel data since 1986. Of special note, in relation to the second edition, are the chapters on dynamic models (Ch. 4) and discrete response models (Ch. 7). These two areas have been particularly in need of an updated treatment, since a great deal of recent research has taken place into the properties of estimators in these situations. Hsiao's treatments of these are correct up to and including 2001, which provides a major service for researchers interested in these topics. An alternative book, by Badi Baltagi, exists. However, Hsiao's book is superior and should be purchased by all who wish to pursue modern empirical work.
6 of 7 people found the following review helpful:
4.0 out of 5 stars
Solid coverage on theory, but...,
By
This review is from: Analysis of Panel Data (Econometric Society Monographs) (Paperback)
This book covers panel data econometrics theory very well. It's probably the best in this field. However, this book lacks data and more importantly computer codes on how to implement panel data models. The author didn't provide a website where you can get the data in the book, which makes it difficult for applied econometricians to learn and implement. It would a lot more useful if the author can provide some support on how to implement his models in either packages (e.g., Stata or SAS) or programming languages (e.g., Gauss or Matlab). I found biometricians and social scientists do a much better job in both research and implementation of panel data models than econometricians, although they have different names for the same thing (e.g., mixed effects, multilevel, or HLM, etc.)
5 of 8 people found the following review helpful:
5.0 out of 5 stars
A classic.,
By "ykad" (Lincoln, NE United States) - See all my reviews
This review is from: Analysis of Panel Data (Econometric Society Monographs) (Paperback)
This book is a classic on panel data econometrics. Nevertheless, the materials in this book do not account for nonstationary panel data. I am anxiously waiting for Arellano's Panel Data Econometrics, which contains up-to-date treatment.
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