ECON 2710 - EMPIRICAL METHODS II

Minimum Credits: 3
Maximum Credits: 3
This course will cover cutting-edge methods typically used in applied micro-economic research and it is designed to help you learn how to apply the econometric techniques learned in the econometrics sequence. It is a natural prosecution of the empirical methods class. The course will cover methods for spatial analysis introducing students to the use of ArcGIS for applied microeconometric research. Furthermore, it will introduce students to scraping and data mining techniques using Python and R. The goal of this class is to provide students with the tools needed to become critical readers of empirical work and teach them techniques that they can apply to their own original research.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis

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