author
Sendhil Mullainathan
5 papers here · 2 people have them
tags: econometrics: 2algorithmic fairness: 1health: 1
lists: stats.club
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Rambachan, A., Kleinberg, J., Ludwig, J., et al. (2020). An Economic Perspective on Algorithmic Fairness. AEA Papers and Proceedings.
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Ludwig, J., Mullainathan, S., & Spiess, J. (2019). Augmenting Pre-Analysis Plans with Machine Learning. AEA Papers and Proceedings.
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Obermeyer, Z., Powers, B., Vogeli, C., et al. (2019). Dissecting racial bias in an algorithm used to manage the health of populations. Science.
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Ludwig, J., Mullainathan, S., & Rambachan, A. (2026). Large Language Models: An Applied Econometric Framework. Annual Review of Economics.
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Mullainathan, S., & Spiess, J. (2017). Machine Learning: An Applied Econometric Approach. Journal of Economic Perspectives.
None of these papers is tagged [algorithmic fairness].
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