Longitudinal and Panel Data
Analysis and Applications in the Social Sciences
£46.99
- Author: Edward W. Frees, University of Wisconsin, Madison
- Date Published: November 2004
- availability: Available
- format: Paperback
- isbn: 9780521535380
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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 foundations of longitudinal and panel data analysis at a level suitable for quantitatively oriented graduate social science students as well as individual researchers. He emphasizes mathematical and statistical fundamentals but also describes substantive applications from across the social sciences, showing the breadth and scope that these models enjoy. The applications are enhanced by real-world data sets and software programs in SAS and Stata.
Read more- A flexible and easy teaching text - includes many real world data sets and exercises and technical appendix to allow instructor to choose the topics to cover
- Contains many interesting historical references
- Software examples in SAS and Stata
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×Product details
- Date Published: November 2004
- format: Paperback
- isbn: 9780521535380
- length: 484 pages
- dimensions: 229 x 152 x 27 mm
- weight: 0.7kg
- availability: Available
Table of Contents
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
Appendix F. Selected longitudinal and panel data sets
Appendix G. References.
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