University of Arizona 3 credits Govt & Pub Policy, Sch of
Political Scientists across sub-fields require understanding, analyzing and explaining the behavior of several units of analysis over time. These could be individuals, countries, municipalities, institutions, groups, firms, etc. that display different behavioral trends over time and across space. This course offers graduate students the opportunity to develop methodological skills for understanding and performing quantitative analyses of time series cross-sectional data, also known as panel data. The topics covered in this course include the specification, estimation, evaluation, and inference of fixed and random effects models for continuous, categorical, and count data in time series cross- sectional studies. The basic model specification will be extended to more advanced methods such as Arellano-Bond estimator, instrumental variables, and spatial econometric models for panel data.
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