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Panel Data Econometrics

Theory

Buch | Softcover

432 Seiten

2019
Academic Press Inc (Verlag)
978-0-12-814367-4 (ISBN)

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Panel Data Econometrics: Theory introduces econometric modelling. Written by experts from diverse disciplines, the volume uses longitudinal datasets to illuminate applications for a variety of fields, such as banking, financial markets, tourism and transportation, auctions, and experimental economics. Contributors emphasize techniques and applications, and they accompany their explanations with case studies, empirical exercises and supplementary code in R. They also address panel data analysis in the context of productivity and efficiency analysis, where some of the most interesting applications and advancements have recently been made.

Mike G. Tsionas is Professor of Economics in the Lancaster University Management School (Ph.D, 1994, University of Minnesota). He is a Fellow of the Journal of Econometrics, a Distinguished Author of the Journal of Applied Econometrics and an Associate Editor of Empirical Economics, Journal of Productivity Analysis, Economic Modelling, Journal of Mathematics and the Journal of Banking and Finance in the past. He has authored several books and 160 academic papers in such journals as Review of Economic Studies, Journal of the American Statistical Association, Journal of Econometrics, Journal of Applied Econometrics, Operations Research, European Journal of Operational Research, Journal of Economic Dynamics and Control, Journal of Banking and Finance, and several other leading Economics journals.

1. A synopsis of econometrics
2. Testing and correcting for endogeneity in nonlinear unobserved effects models
3. Nonlinear and related panel data models
4. Nonparametric estimation and inference for panel data models
5. Heterogeneity and endogeneity in panel stochastic frontier models
6. Bayesian estimation of panel count data models: dynamics, latent heterogeneity, serial error correlation, and nonparametric structures
7. Fixed effects likelihood approach for large panels
8. Panel vector autoregressions with binary data
9. Implementing generalized panel data stochastic frontier estimators
10. Panel cointegration techniques and open challenges
11. Alternative approaches to the econometrics of panel data
12. Analysis of panel data using R

Erscheinungsdatum	21.06.2019
Verlagsort	San Diego
Sprache	englisch
Maße	152 x 229 mm
Gewicht	700 g
Themenwelt	Wirtschaft ► Volkswirtschaftslehre ► Ökonometrie
ISBN-10	0-12-814367-3 / 0128143673
ISBN-13	978-0-12-814367-4 / 9780128143674
Zustand	Neuware