Causal Inference

Inferring Time-varying Treatment Effects in Panel Data via Multi-Task Gaussian Processes featured image
AI/Machine Learning Bayesian Statistics Causal Inference

Inferring Time-varying Treatment Effects in Panel Data via Multi-Task Gaussian Processes

AIStats · 2023

Introduces a Gaussian process framework for estimating treatment effects that vary over time in panel data. The multi-task approach borrows strength across units and time periods, …

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Yehu Chen
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Bayesian Versus Maximum Likelihood Estimation of Treatment Effects in Bivariate Probit Instrumental Variable Models featured image
Bayesian Statistics Causal Inference

Bayesian Versus Maximum Likelihood Estimation of Treatment Effects in Bivariate Probit Instrumental Variable Models

PSRM · 2019

Compares Bayesian and maximum likelihood approaches to estimating treatment effects in bivariate probit models with instrumental variables. The analysis provides practical guidance …

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florian-hollenbach
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How Conditioning on Post-Treatment Variables Can Ruin Your Experiment and What to Do About It featured image
Featured Causal Inference Research Design

How Conditioning on Post-Treatment Variables Can Ruin Your Experiment and What to Do About It

AJPS · 2018

Randomized experiments are political science's gold standard for causal inference — but a surprisingly common set of analytic choices can quietly destroy the advantage …

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jacob-m.-montgomery
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