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Rating: Summary: Well worth getting the update Review: 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.
Rating: Summary: Well worth getting the update Review: 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.
Rating: Summary: A classic. Review: 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.
Rating: Summary: A classic. Review: 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.
Rating: Summary: A book necessary for panel data analysis Review: This neat monograph is necessary for any research in panel data analysis.
Rating: Summary: A book necessary for panel data analysis Review: This neat monograph is necessary for empirical research in panel data analysis. In particular, discussions about fixed effects,random effects, discrete data and dynamic models have been very helpful for my empirical analysis.
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