Teaching
- Oxford econometrics event schedule Metrics events
- Collection of useful computational resources
- My open online textbook on Empirical research on economic inequality
Conferences
- 2026: AI and the political economy of information filtering
- 2024: Economic Analyses of Science
- 2023: Social foundations for statistics and machine learning
- 2022: Oxford Machine Learning and Economics Jamboree
- 2021: Machine learning and economic inequality
- 2019: Statistics in a social context
Youtube channel of workshops and discussions.
Oxford
- Foundations of machine learning (master, 2026)
Class page: ML_Oxford_2026 - Machine learning and economics reading group(open, since 2021)
Reading group page: Machine Learning and Economics - Core econometrics (master, 2025)
Class page: Core_Econometrics_Oxford_2025 - Topics in econometrics reading group (master, since 2023)
- Class page 2024/25: Topics_Econometrics_Oxford_2024
- Class page 2023/24: Topics_Econometrics_Oxford_2023
- Foundations of machine learning summer school (graduate, 2025)
Class page: ML_Oxford_summerschool_2025 - Labor economics (undergraduate, 2021)
Class page: Labor_Oxford_2021
Abidjan
- Africa Summer School in Econometrics (graduate, 2024)
Class page: Adaptive_Abidjan_2024
MIT
- Nonlinear Econometric Analysis (2nd year PhD, 2022)
Class page: Nonlineareconometrics_MIT_2022
Harvard
- Advances in causality and foundations of machine learning (2nd year PhD, 2019)
Class page: TopicsInEconometrics2019 - Empirical research on economic inequality (advanced undergraduate, 2019):
Class page: Inequality2019 - Microeconometric methods (1st year PhD, 2018)
- Syllabus: 2140part1syllabusspring2018.pdf
- Slides: 2140Slides2018.zip
- Reader (theory): 2140theoryreaderspring2018.zip
- Reader (applications): 2140appliedreaderspring2018.zip
- Applied econometrics (advanced undergraduate, 2017)
- Syllabus: 1126SyllabusKasyfall2017.pdf
- Slides: 1126SlidesKasy.zip
- Reader: 1126readerfall2017.zip