Panel Data Econometrics
Empirical Applications
- 1st Edition - June 18, 2019
- Editor: Mike Tsionas
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 5 8 5 9 - 3
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 5 8 6 0 - 9
Panel Data Econometrics: Empirical Applications introduces econometric modelling. Written by experts from diverse disciplines, the volume uses longitudinal datasets to illuminat… Read more
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Request a sales quotePanel Data Econometrics: Empirical Applications 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.
- Provides a vast array of empirical applications useful to practitioners from different application environments
- Accompanied by extensive case studies and empirical exercises
- Includes empirical chapters accompanied by supplementary code in R, helping researchers replicate findings
- Represents an accessible resource for diverse industries, including health, transportation, tourism, economic growth, and banking, where researchers are not always econometrics experts
Early career researchers in econometrics and other fields including banking, financial markets, tourism and transportation, auctions, experimental economics who seek to adopt econometric techniques for research in their specific application environments. Practitioners seeking a stronger footing for empirical studies. Graduate students and 1st year PhD students of economics, econometrics, and statistics looking to implement the formal skillset learned in volume one
- No. of pages: 1011
- Language: English
- Edition: 1
- Published: June 18, 2019
- Imprint: Academic Press
- Paperback ISBN: 9780128158593
- eBook ISBN: 9780128158609
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