Classes

POLS 570 - Causal Inference

Semester: 

Fall

Offered: 

2022
This course provides an introduction to large-sample casual inference using standard techniques: regression (parametric and nonparametric), matching, weighting and doubly robust techniques, instrumental variables, fixed effects and difference-in-differences. The course also covers methods of statistical estimation used for these approaches.

QTM 220 - Regression Analysis

Semester: 

Fall

Offered: 

2022
This course introduces students to widely used procedures for regression analysis for descriptive and causal inference, and provides intuitive, applied, and formal foundations for regression and more advanced methods treated later in the major course sequence.  The first half of the course covers descriptive inference with regression from a sampling perspective. The second half of the course covers causal inference with regression and standardization, also from a sampling and missing data perspective. The principles learned in this course provide a foundation for the future study of more... Read more about QTM 220 - Regression Analysis

QTM 385 - Individual Treatment Effects

Semester: 

Spring

Offered: 

2022

Modern approaches to causal inference often focus on estimating average treatment effects, but in everyday life and in fields like business, the social sciences, and medicine, we are often interested in treatment effects for individuals. This course surveys estimation and inference techniques for individual treatment effects from the classical (Mill’s methods) to the modern (synthetic control type methods). Topics covered include a review of methods for average treatment effects, frequentist and Bayesian approaches, prediction intervals, and permutation methods. Big data methods using...

Read more about QTM 385 - Individual Treatment Effects