Gregory Bruich received his Ph.D. from the Department of Economics at Harvard University. His research is in public economics. He was voted a “Favorite Professor” by the Harvard College Class of 2022. He has received the Rhodes Inspirational Educator Award from the Rhodes Trust, the John R. Marquand Award for Exceptional Advising, multiple Certificates of Distinction and Certificates of Excellence for his teaching, and a Special Commendation for Extraordinary Teaching in Extraordinary Times from the Dean of Undergraduate Education at Harvard College. He has been the Faculty Adviser for twenty senior theses in Economics, Applied Math, Social Studies, and Statistics. He has received five FAS research grants for advising five Hoopes Prize winning senior theses. In the fall, he teaches an econometrics class for Ph.D. students (Economics 2110/HKS API 114/HBS 4170). In the spring, he teaches over 600 students across two classes: Economics 1123 Introduction to Econometrics; and Economics 50 Using Big Data to Solve Economic and Social Problems (with Raj Chetty). He has also taught other classes in Public Economics, Labor Economics, and Econometrics at Harvard. He has been nominated several times for the Star Family Prize for Excellence in Advising.
- Expanding and Diversifying the Pool of Undergraduates who Study Economics: Insights from a New Introductory Course at Harvard. NBER Working Paper Number 26961 (with Amanda Bayer, Raj Chetty, Andrew Housiaux).
- How do disability insurance beneficiaries respond to cash-on-hand? New evidence and policy implications [pdf]
- The effect of SNAP benefits on household expenditures and consumption: New evidence from scanner data and the November 2013 benefit cuts [pdf] [Press coverage]
- Payday as a zeitgeber for consumption, crime, and adverse health outcomes
- Economics 2110: Econometrics I, Harvard University (Ph.D.-level)
- Economics 1123: Introduction to Econometrics, Harvard University (undergraduate-level)
- Economics 50: Using Big Data to Solve Economic and Social Problems (with Raj Chetty), Harvard University
- API 202 Z: Empirical Methods II, Harvard Kennedy School of Government (M.P.P.-level)
- Public Economics Lectures for 2nd Year Ph.D. Course (with Raj Chetty) [pdf of slides, lite version of slides, pdf of reading list and course description, zip folder with source files]
- Program to calculate a bias-adjusted robust variance estimator with degrees of freedom correction for linear regression with independent observations (Imbens and Kolesár 2016, Bell and McCaffrey 2002, Sattherthwaite 1946) [Stata .ado file and example .do file]
- Program to compute and plot the Quandt likelihood ratio test statistic [stata .ado file, example .do file, and example data set]