Skip to main content

Search NYU Steinhardt

Advanced Causal Inference Designs and Applications

This course builds statistical and analytic skills in advanced causal inference techniques, focusing on advanced topics and applications in regression discontinuity designs and in matching estimators. We go in depth with the theory, assumptions and plausibility checks, applications, recent advances, combinations of these designs with other techniques, and complications of the designs. Students learn advanced techniques hands-on, and produce a journal-quality manuscript by the end of the semester.

Course #
APSTA-GE 2018
Credits
3
Department
Applied Statistics, Social Science, and Humanities