Selected aspects of theory will be presented to improve the overall statistical maturity of the students. The course will focus on teaching through the use of practical examples. The course will be taught at a relatively high level and intensity. The aim of this course is to give a concise introduction to network models for the analysis of large dimensional panels of time series.
This course focuses on network models, one of the most prominent class of models used to study large dimensional panels of time series that has gained popularity in recent years. Modelling increasingly complex datasets in applied economics requires a broad range of tools from statistics and machine learning that go beyond regression analysis.
This course runs online and will use the statistical software Stata and Python for practical implementation.
Instructor: Christian Brownlees, Department of Economics and Business at the Universitat Pompeu Fabra
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