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.
General
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