
The Mixtape with Scott S4E15: Dmitry Arkhangelsky, Econometrics and Machine Learning, CEMFI
Feb 11, 2025
Dmitry Arkhangelsky, an Associate Professor at CEMFI in Madrid, shares his remarkable journey from Moscow to Madrid, intertwining anecdotes of cycling adventures and a deep-seated love for literature. He discusses his early explorations in economics, revealing the chaotic state of the field at Moscow State University. Dmitry elaborates on his innovative work in econometrics, particularly the "Synthetic Difference-in-Differences" method, showcasing the collaborative dynamics of academic research and its practical implications in policy analysis.
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Embrace Practical Causal Econometrics
- The 'Mostly Harmless Econometrics' course shifted Dmitry's perspective on econometrics towards empirical causal inference.
- He started appreciating simpler, practical tools applied to real problems rather than complex theory.
Causal Inference Matches Micro Interests
- Dmitry was excited by causal inference tools because they are simpler and more applicable to real-world social behaviors.
- The framework resonates with his microeconomics interest, focusing on individual decisions and actions.
Work Experience Shifted Career Goals
- Dmitry initially planned to work in tech rather than academia after his master's.
- His year at Yandex gave him data experience, which pushed him to pursue a PhD in econometrics instead.




