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Analysis of panel data /
紀錄類型:
書目-語言資料,印刷品 : 單行本
正題名/作者:
Analysis of panel data // Cheng Hsiao.
作者:
Hsiao, Cheng,
出版者:
New York, NY :Cambridge University Press ;2014.
面頁冊數:
xxi, 538 p. :ill. ;24 cm.
標題:
Analysis of variance. -
ISBN:
9781107657632 (paperback) :
ISBN:
9781107038691 (hardback)
Analysis of panel data /
Hsiao, Cheng,1943-
Analysis of panel data /
Cheng Hsiao. - 3rd ed. - New York, NY :Cambridge University Press ;2014. - xxi, 538 p. :ill. ;24 cm. - Econometric society monographs.
Includes bibliographical references and indexes.
Machine generated contents note: 1. Introduction; 2. Homogeneity test for linear regression models (analysis of covariance); 3. Simple regression with variable intercepts; 4. Dynamic models with variable intercepts; 5. Simultaneous-equations models; 6. Variable-coefficient models; 7. Discrete data; 8. Truncated and censored data; 9. Cross-sectional dependent panel data; 10. Dynamic system; 11. Incomplete panel data; 12. Miscellaneous topics; 13. A summary view.
"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"--
ISBN: 9781107657632 (paperback) :NT1525
LCCN: 2014006652Subjects--Topical Terms:
162932
Analysis of variance.
LC Class. No.: HB139 / .H75 2014
Dewey Class. No.: 330.01/5195
Analysis of panel data /
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"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"--
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