machine learning · Susan Athey · papers.club

read by clovisthegreat.papers.club2026-10-09
Athey, S. (2017). Beyond prediction: Using big data for policy problems. Science.
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Wager, S., & Athey, S. (2018). Estimation and Inference of Heterogeneous Treatment Effects using Random Forests. Journal of the American Statistical Association.
causal inference: 1 econometrics: 1
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Athey, S., & Imbens, G. W. (2019). Machine Learning Methods That Economists Should Know About. Annual Review of Economics.
econometrics: 1 machine learning: 1
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Athey, S., Bayati, M., Doudchenko, N., et al. (2021). Matrix Completion Methods for Causal Panel Data Models. Journal of the American Statistical Association.
econometrics: 1 machine learning: 1
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Athey, S., & Imbens, G. (2016). Recursive partitioning for heterogeneous causal effects. Proceedings of the National Academy of Sciences.
econometrics: 1 machine learning: 1
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Abadie, A., Athey, S., Imbens, G. W., et al. (2020). Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis. Econometrica.
causal inference: 1 econometrics: 1
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Arkhangelsky, D., Athey, S., Hirshberg, D. A., et al. (2021). Synthetic Difference-in-Differences. American Economic Review.
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Athey, S. (2019). The Impact of Machine Learning on Economics. The Economics of Artificial Intelligence.
ai: 1 econometrics: 1 machine learning: 1
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Athey, S., & Imbens, G. W. (2017). The State of Applied Econometrics: Causality and Policy Evaluation. Journal of Economic Perspectives.
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Abadie, A., Athey, S., Imbens, G. W., et al. (2022). When Should You Adjust Standard Errors for Clustering? The Quarterly Journal of Economics.
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