Economics of AI
Anastassia Fedyk, Professor
Business, Haas School
Applications for Spring 2024 are closed for this project.
This project supports Professor Anastassia Fedyk’s research on economics of AI. The research uses unique measure of firm-level investments in AI and other emerging technologies, derived from individual employees’ resumes. The research answers key questions such as: Do new technologies such as AI benefit firms? What happens to the workforce when firms invest in AI: does technology replace high-skilled or low-skilled labor? Which skills are complementary to technology such as AI?
Role: The key tasks for the research apprentices include:
- Assisting with econometric analysis (regressions) linking firm and individual worker outcomes to technology adoption.
- Conducting literature reviews.
- Formatting tables and journal manuscripts.
Students involved in this project will increase their knowledge of:
- The quickly growing field of economics of AI
- Econometric analysis
- The scientific research process
Qualifications: Required:
- Experience with at least one of: Python, R, Matlab, STATA, C/C++;
- Excellent performance in econometrics course(s);
- Experience writing object oriented, efficient, modular code, beyond Jupyter notebooks.
Must be willing to put in 10 hours/week every week, with no exception.
Hours: 9-11 hrs
Digital Humanities and Data Science Social Sciences