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Longitudinal and Panel Data
Analysis and Applications in the Social Sciences

$149.00 (P)

  • Date Published: August 2004
  • availability: Available
  • format: Hardback
  • isbn: 9780521828284

$ 149.00 (P)
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About the Authors
  • Focusing on an analysis of models and data that arise from repeated observations of a cross-section of individuals, households or firms, this book also covers 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 social science graduate students as well as individual researchers. He emphasizes mathematical and statistical fundamentals but also demonstrates substantive applications from across the social sciences. These applications are enhanced by real-world data sets and software programs in SAS and Stata.

    • 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    • Contains many interesting historical references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: August 2004
    • format: Hardback
    • isbn: 9780521828284
    • length: 484 pages
    • dimensions: 237 x 156 x 32 mm
    • weight: 0.88kg
    • 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.

  • Author

    Edward W. Frees, University of Wisconsin, Madison
    E. W. Frees is a Professor of Business at the University of Wisconsin-Madison and is holder of the Fortis Health Insurance Professorship of Actuarial Science. He is a Fellow of both the Society of Actuaries and the American Statistical Association. He has served in several editorial capacities including Editor of the North American Actuarial Journal and Associate Editor for Insurance: Mathematics and Economics. An award-winning researcher, he as published in the leading refereed academic journals in Business and Economics and Theoretical and Applied Statistics.

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