Linkedin Learning – Panel Data Analysis Essential Training
English | Tutorial | Size: 261.25 MB
Panel data is among the most complex data sources available to data analysis scientists. Analyzing such data requires an understanding of a new class of models that go beyond traditional linear regression techniques. In this course, professor of economics Franz Buscha introduces you to such models and highlights how and when to use them. Franz covers best practices, basic panel data setup, descriptive analysis, and advanced modeling techniques. He explains each topic theoretically and shows you a simple practical example. Franz goes over common panel data models, including FE and RE estimation, and explores advanced panel data techniques, such as Mundlak, dynamic, and nonlinear models.
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