Analysis of Panel Data (Econometric Society Monographs, Series Number 34)
Language: English
Published by Cambridge University Press, 2003
- Softcover
- Used

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number 34 Very Good paperback with light shelfwear - NICE! Standard-sized.
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- Title
- Analysis of Panel Data (Econometric Society Monographs, Series Number 34)
- Author
- Hsiao, Cheng
- Publisher
- Cambridge University Press
- Publication year
- 2003
- Condition
- Very Good
- Binding
- paperback
- Language
- English
- ISBN 10
- 0521522714
- ISBN 13
- 9780521522717
- Edition
- 2nd Edition
"Synopsis" may belong to another edition of this title.
Review
Marc Nerlove, University of Maryland
"The literature on panel data modeling has seen unprecendented growth over the past decade and Cheng Hsiao, himself one of the leading contributors to this literature, is to be congratulated for providing us with a comprehensive and timely update of his classic text. This version not only presents a substantial revision of the 1986 edition, but also offers major additions covering non-linear panel data models dealing with useful overviews of unit root and cointegration in dynamic heterogeneous panels. It should prove invaluable to students and teachers of advanced undergraduate and graduate economic courses."
Hashem Perasan, Trinity College, Cambridge
"The first edition of Analysis of Panel Data by Cheng Hsiao has been necessary reading and a landmark for 15 years. The revised and much expanded second edition splendidly integrates the important new developments in the field. One can be sure it will stay a landmark for 15 years to come."
Jacques Mairesse, ENSAE, France
"Cheng Hsiao has done a great service to the profession by expanding his highly successful first edition to include the important results that have been obtained by him and other researchers since the publication of the first edition. Especially noteworthy in this edition is the application of panel data analysis to qualitative response and sample selection models. Cheng has admirably succeeded in presenting the mathematical results both rigorously and lucidly. Many theoretical results are illustrated by interesting empirical examples. This edition should prove to be an extremely useful reference for the experts in the field as well as graduate students."
Takeshi Amemiya, Stanford University, California
"Researchers will find that the insights that they gain from working through the book's tougher sections are well worth the effort. The book remains an indispensable and comprehensive reference for panel estimation methods."
David C. Ribar, International Journal of Forecasting
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