Longitudinal and Panel Data - Analysis and Applications in the Social Sciences PDF

This book focuses on models and data that arise from repeated observations of a cross section of individuals, households, or firms. 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, Stata, and R. Edward W. Frees is 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 of Insurance : Mathematics and Economics. An award-winning researcher, he has published in the leading refereed academic journals in actuarial science and insurance, other areas of business and economics, and mathematical and applied statistics.

Stata Bookstore | Longitudinal data/panel data All subjects (by author) All subjects (by title) Behavioral science Biostatistics and epidemiology Causal inference Categorical, count, and censored outcomes Data management Data resampling Econometrics Experimental design and linear models Generalized linear models Graphics Logistic regression Longitudinal data/Panel data Meta analysis Multilevel models Multidisciplinary Multivariate methods