Implemented CORE curriculum
Course Evaluations (2018)
Course Evaluations (2019)
Used PollEverywhere software
Used coding (R and MATLAB) to help understand Dynamic Programming and Econometrics concepts
Everyone has probably heard that correlation does not equal causation. Said another way, just because X and Y are observed to move together it does not mean that X causes Y. In fact, Y may cause X! When working with observational data (i.e. data not generated from an experiment) it is often difficult to know when one can claim X causes Y. The goal of this workshop is to first show how this problem operates through simple simulations. We will then go over two of the most important methods for solving these issues, namely difference in differences and instrumental variables.
Presented insights from administrative data to law students
"CORE USA is bringing together a cadre of confident, networked, new PhDs excited about making teaching a fulfilling and central part of their careers in economics. The CORE-Teagle Fellows have been selected through a competitive application process to attend one of our annual workshops and after successful completion of a workshop have been certified for their commitment to excellence in teaching and scholarship."
Head TA for Professor David Burk's Principles of Microeconomics (FA2020, fully virtual)
Assisted in administering Introduction to Macroeconomics (Fall 2017) and Microeconomics (Spring 2018/Fall 2018/Spring 2019/Fall 2019/Spring 2020)
Developed novel course that took theory to laser lab
Developed a novel course that was students' first "upper-level" course in Physics sequence
Developed a novel hybrid course that utilized online and in-class material