Jason Poulos

Postdoctoral Fellow,
Harvard Medical School




Google Scholar



RNN-Based Counterfactual Prediction, with an Application to Homestead Policy and Public Schooling.
(with Shuxi Zeng). JRSS-C, 2021+.
[arXiv] [Code]

Amnesty Policy and Elite Persistence in the Postbellum South: Evidence from a Regression Discontinuity Design. Journal of Historical Political Economy, 2021+.
[arXiv] [Code]

Character-Based Handwritten Text Transcription with Attention Networks.
(with Rafael Valle). Neural Computing & Applications, 2021.
[arXiv] [Code]

Estimating Population Average Treatment Effects from Experiments with Noncompliance.
(with Kellie Ottoboni). Journal of Causal Inference, 2020.
[arXiv] [Code]

Land Lotteries, Long-Term Wealth, and Political Selection. Public Choice, 2019.

Missing Data Imputation for Supervised Learning.
(with Rafael Valle). Applied Artificial Intelligence, 2018.
[arXiv] [Supplementary Material] [Code]


Adversarial Machine Learning: Perspectives from Adversarial Risk Analysis.
(with David Rios Insua, Roi Naveiro, and Victor Gallego).

Are Deep Learning Models Superior for Missing Data Imputation in Large Surveys? Evidence from an Empirical Comparison.
(with Zhenhua Wang, Olanrewaju Akande, and Fan Li). [Supplementary Material] [Code]

Retrospective Causal Inference via Matrix Completion, with an Evaluation of the Effect of European Integration on Labour Market Outcomes.
(with Andrea Albanese, Fan Li, and Andrea Mercatanti).

State-Building through Public Land Disposal? An Application of Matrix Completion for Counterfactual Prediction.
[Supplementary Material] [Code]