Teaching

Quantitative Spatial Models for Urban Economics

PhD Review Course, University of Pennsylvania (Wharton), 2025

This course covers quantitative spatial models (QSMs) as used in urban and real estate economics and related disciplines. We critically explore QSMs both as tools for measurement and as economic frameworks for evaluating welfare and simulating counterfactuals of spatial economies. We discuss approaches to QSM estimation, as well as data requirements, identifying assumptions, and the consequences thereof. The purpose of this course is to give students a broad understanding of QSMs and their common use cases, while providing a sense of the circumstances and assumptions under which these models permit credible analysis. The syllabus can be found here.

Math Camp (PhD) - Instructor/Co-Instructor

PhD Review Course, UCSB, 2015

Math Camp to review important mathematical material for incoming PhD students in Economics at UCSB. I taught math camp in 2013 and 2014. In 2015, I co-taught this class with Patrick Holder; I covered linear algebra, statistics, and coding, while Patrick covered calculus and analysis. Our 2015 joint syllabus is here.

Econ 241C (PhD) - TA

PhD Econometrics, UCSB, 2014

The third course in Economics PhD first year Econometrics sequence, covering asymptotic M-class estimators.

Econ 241B (PhD) - TA

PhD Econometrics, UCSB, 2014

The second course in Economics PhD first year Econometrics sequence.

Econ 241A (PhD) - TA

PhD Econometrics, UCSB, 2013

The first course in Economics PhD first year Econometrics sequence. All probability and statistics, all the time.