Regression discontinuity in college math recommendations
Open to PhD students and faculty engaged in causal inference in education research.
About the speaker:
Julian Hsu is a doctoral candidate in economics at the University of Michigan whose research interests lie in analyzing college course choices and their relation to college majors and graduation time. As a Junior Fellow at the University of Michigan's Learning Analytics Fellows program, he uses administrative transcript data from the University of Michigan Data Warehouse to study college course selection.
The objective of the Causal Inference in Education Research Seminar (CIERS) is to engage students and faculty from across the university in conversations around education research using various research methodologies.
This seminar provides a space for doctoral students and faculty from the School of Education, Ford School of Public Policy, and the Departments of Economics, Sociology, Statistics, and Political Science to discuss current research and receive feedback on works-in-progress. Discourse between these schools and departments creates a more complete community of education scholars, and provides a networking opportunity for students enrolled in a variety of academic programs who share common research interests. Open to PhD students and faculty engaged in causal inference in education research.