3 papers
econ.EM2025
Inferring Treatment Effects in Large Panels by Uncovering Latent Similarities
Ben Deaner, Chen-Wei Hsiang, Andrei Zeleneev
The presence of unobserved confounders is one of the main challenges in identifying treatment effects. In this paper, we propose a new approach to causal inference using panel data…
econ.EM2021
Many Proxy Controls
Ben Deaner
A recent literature considers causal inference using noisy proxies for unobserved confounding factors. The proxies are divided into two sets that are independent conditional on the…
econ.EM2020
Approximation-Robust Inference in Dynamic Discrete Choice
Ben Deaner
Estimation and inference in dynamic discrete choice models often relies on approximation to lower the computational burden of dynamic programming. Unfortunately, the use of approxi…