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Panel Data Econometrics. Empirical Applications

  • Book

  • June 2019
  • Elsevier Science and Technology
  • ID: 4720867

Panel 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.

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Table of Contents

13. Capital Regulation, Efficiency, and Risk Taking: A Spatial Panel Analysis of U.S. Banks
14. Panel Data in Educational Research
15. Panel Data in Energy Economics
16. Panel Data Analysis Based on Lab Evidence in Auction Market Experiments
17. Maximum Likelihood for Cross-Lagged Panel Models With Fixed Effects
18. Panel Data in Transportation Research
19. Panel Data in Banking: Research Issues and Data Peculiarities
20. Quantile Panel Estimation of Financial Contagion Effects
21. Application of Panel Data Models for Empirical Economic Analysis
22. The Income-Health Gradient: Evidence From Self-Reported Health and Biomarkers in Understanding Society
23. Application in Banking: Securitization and Global Banking
24. Regional Innovation in the United States: A Poisson Stochastic Frontier Approach With Finite Mixture Structure
25. Making Inference of British Household's Happiness Efficiency: A Panel Bayesian Inference Procedure
26. The Impact of Explicit Deposit Insurance on Market Discipline
27. Export Pricing at the Firm Level With Panel Data
28. The Relationship Between Economic Growth and Democracy: Alternative Representations of Technological Change
29. Analysis of Stochastic Dominance Ranking of Chinese Income Distributions by Household Attributes
30. The Neural Network Production Function: Panel Evidence for the United States

Authors

Mike Tsionas Lancaster University Management School, Athens University of Economics and Business. 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.