Teaching
- Oxford econometrics event schedule Metrics events
- Collection of useful computational ressources
- My open online textbook on Empirical research on economic inequality
Conferences
- Youtube channel of workshops and discussions.
- 2024 Conference Economic Analyses of Science
- 2023 Conference Social foundations for statistics and machine learning
- 2022 Conference Oxford Machine Learning and Economics Jamboree
- 2021 Conference Machine learning and economic inequality
- 2019 Conference Statistics in a social context
Oxford
Foundations of machine learning (master, 2024)
- Syllabus Syllabus_ML_Oxford_2024.pdf
- Class page ML_Oxford_2024
Topics in Econometrics (master, 2023/24)
- Syllabus: Syllabus_Topics_Econometrics_2021.pdf
- Class page Topics_Econometrics_Oxford_2023
Machine Learning and Economics reading group (ongoing, since 2021)
- Reading group page Machine Learning and Economics
Labor economics (undergraduate, 2021)
- Syllabus Syllabus_Labor_Oxford_2021.pdf
- Class page Labor_Oxford_2021
MIT
14.385: Nonlinear Econometric Analysis (2nd year PhD, 2022)
- Syllabus Syllabus_Nonlineareconometrics_MIT_2022.pdf
- Class page Nonlineareconometrics_MIT_2022
Harvard
Advances in causality and foundations of machine learning (2nd year PhD, 2019)
- Syllabus 2148SyllabusKasy_Fall2019.pdf
- Class page TopicsInEconometrics2019
Empirical research on economic inequality (advanced undergraduate, 2019):
- Syllabus 980wSyllabusKasy_Spring2019.pdf
- 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