[ RESEARCH ]
AI-Era Skill Wage Premia: Hedonic Wage Regression Across Three Labor Markets
Hedonic wage regression on ~8,000 job postings across the UK, Canada, and Australia estimates wage premia associated with AI-adjacent skills in the post-GPT labor market.
IN PROGRESS LABOR ECONOMICSMLWAGE REGRESSION
About This Project
This is collaborative research with Dr. Anindya Sen at the University of Waterloo. I am the research assistant; Dr. Sen is the lead. Findings and methodology belong to the project and will be shared when the work is published and attributed.
My Contribution
- Constructed and cleaned the job postings dataset (~8,000 postings across the UK, Canada, and Australia)
- Designed data validation that caught parsing errors spanning five orders of magnitude — errors that, once corrected, materially changed point estimates
- Built ETL workflows in Python (pandas, regex-based salary parsing) for reproducible cross-jurisdiction processing
- Ran initial hedonic wage regressions to estimate skill-specific wage premia
The validation work was the substantive contribution: the raw data had systematic errors that would have produced misleading estimates. This is the kind of problem that doesn’t appear in a methodology section but determines whether the results mean anything.
Status
Research in progress. No findings shared before peer review and PI sign-off.