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06/30/2022
Targeted learning in observational studies with multi-level treatments: An evaluation of antipsychotic drug treatment safety for patients with serious mental illnesses
We investigate estimation of causal effects of multiple competing (multi...
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06/29/2022
Gender gaps in frontier entrepreneurship? Evidence from 1901 Oklahoma land lottery winners
The paper investigates gender differences in entrepreneurship by exploit...
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06/01/2021
Retrospective causal inference via matrix completion, with an evaluation of the effect of European integration on cross-border employment
We propose a method of retrospective counterfactual imputation in panel ...
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03/26/2021
Amnesty Policy and Elite Persistence in the Postbellum South: Evidence from a Regression Discontinuity Design
This paper investigates the impact of Reconstruction-era amnesty policy ...
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03/14/2021
Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison
Multiple imputation (MI) is the state-of-the-art approach for dealing wi...
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03/07/2020
Adversarial Machine Learning: Perspectives from Adversarial Risk Analysis
Adversarial Machine Learning (AML) is emerging as a major field aimed at...
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03/19/2019
State-Building through Public Land Disposal? An Application of Matrix Completion for Counterfactual Prediction
How would the frontier have evolved in the absence of homestead policies...
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01/10/2019
Estimating population average treatment effects from experiments with noncompliance
This paper extends a method of estimating population average treatment e...
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12/11/2017
Attention networks for image-to-text
The paper approaches the problem of image-to-text with attention-based e...
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12/10/2017
Causal Inference for Observational Time-Series with Encoder-Decoder Networks
This paper proposes a method for estimating the causal effect of a discr...
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10/28/2016