This is an advanced econometrics/data analytics course and extends ECON2228. Selected topics include linear and non-linear least squares estimation as well as maximum likelihood estimation, including logit/probit, ordered logit/probit and poisson/negative binomial count regression models. A term-long research project is an important part of the course and will entail in-class presentations as well as a submission at the end of the semester. The analytics in the course will be Stata-based, but students in doing their own work, should feel free to work in R, SAS, Python, or whatever their statistical language of choice might be. Limited enrollment.
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