ECON 6190 - Econometric Analysis I

The students will be introduced to various econometric models commonly used in cross-section data. The topics include linear regression and its statistical foundation, endogeneity, limited dependent variable analysis, and some cutting-edge machine learning methods that are widely applied in economics for variable selection, prediction, and inference. The course will discuss the nature of difficulties that arise in applying statistical models to many economic research problems. Students will learn to perform hands on analyses using open-source statistical software R and real-world economic data.

Note: Open to graduate students only.

Credits: 3 hours

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