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Analysis of Panel Data - Cheng Hsiao

Analysis of Panel Data

(Autor)

Buch | Softcover
562 Seiten
2014 | 3rd Revised edition
Cambridge University Press (Verlag)
978-1-107-65763-2 (ISBN)
CHF 64,55 inkl. MwSt
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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.

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.

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.

Reihe/Serie Econometric Society Monographs
Zusatzinfo 9 Tables, unspecified; 7 Line drawings, unspecified
Verlagsort Cambridge
Sprache englisch
Maße 152 x 230 mm
Gewicht 820 g
Themenwelt Wirtschaft Volkswirtschaftslehre Ökonometrie
ISBN-10 1-107-65763-6 / 1107657636
ISBN-13 978-1-107-65763-2 / 9781107657632
Zustand Neuware
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