This is a PhD course that introduces fundamental statistical concepts for academic research in business and economics. The topics include linear regression, maximum likelihood, logistic regression, randomized controlled experiments, propensity score matching, instrumental variables regression, regression discontinuity designs, difference-in-differences, and fixed effects regression.
Undergraduate-level real analysis, linear algebra, and statistics (or econometrics). BUSN 41901=STAT 32400
There are no required textbooks.
Grades are based on the midterm exam and the final exam.
Description and/or course criteria last updated: September 02 2025
