Analysis of Panel Data 第三版– November 2014

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Analysis of Panel Data (Econometric Society Monographs)
– November 24, 2014   
by    Cheng Hsiao                                                               
                                                         
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Analysis of Panel Data-Cambridge University Press (2014)(Cheng Hsiao).pdf (3.81 MB)

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Book Description              
This book provides a comprehensive, coherent, and intuitive review of panel data methodologies that are useful for empirical analysis. Substantially revised from the second edition, it includes two new chapters on modeling cross-sectionally dependent data and dynamic systems of equations. Some of the more complicated concepts have been further streamlined. Other new material includes correlated random coefficient models, pseudo-panels, duration and count data models, quantile analysis, and alternative approaches for controlling the impact of unobserved heterogeneity in nonlinear panel data models.            
      
About the Author              
Cheng Hsiao is Professor of Economics at the University of Southern California. He has worked mainly in integrating economic theory with economic analysis. Professor Hsiao has made extensive contributions in methodology and empirical analysis in the areas of panel data, time series, cross-sectional data, structural modeling, and measurement errors, among other fields. He is the author of the first two editions of Analysis of Panel Data and has been a co-editor of the Journal of Econometrics since 1991. He received his PhD in Economics from Stanford University.            

Title:	Analysis of Panel Data		Volume:
Author(s):	Cheng Hsiao
Series:	Econometric Society Monographs	Periodical:
Publisher:	Cambridge University Press	City:
Year:	2014	Edition:	3
Language:	English	Pages:	562
ISBN:	1107038693, 9781107038691	ID:	1309710

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关键词：panel data November Analysis Analysi Analys 2014

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rmatrix 发表于 2015-2-2 10:14
Analysis of Panel Data (Econometric Society Monographs)
– November 24, 2014   
by    Cheng Hsiao ...

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Analysis of Panel Data