Longitudinal and panel data : analysis and applications in the social sciences /
This focuses on models and data that arise from repeated observations of a cross-section of individuals, households or companies. These models have found important applications within business, economics, education, political science and other social science disciplines. The author introduces the fo...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cambridge, UK ; New York :
Cambridge University Press,
2004.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 1. Introduction
- Part I. Linear Models: 2. Fixed Effects Models
- 3. Models with Random Effects
- 4. Prediction and Bayesian Inference
- 5. Multilevel Models
- 6. Random Regressors: 7. Modeling Issues
- 8. Dynamic Models
- Part II. Nonlinear Models: 9. Binary Dependent Variables
- 10. Generalized Linear Models
- 11. Categorical Dependent Variables and Survival Models
- Appendix A. Elements of Matrix Algebra
- Appendix B. Normal Distribution
- Appendix C. Likelihood-Based Inference
- Appendix D. Kalman Filter Appendix
- E. Symbols and Notation
- F. Selected Longitudinal and Panel Data Sets.