3 papers
econ.EM2026
Long-Term Causal Inference with Many Noisy Proxies
Apoorva Lal, Guido Imbens, Peter Hull
We propose a method for estimating long-term treatment effects with many short-term proxy outcomes: a central challenge when experimenting on digital platforms. We formalize this c…
econ.EM2025
When can we get away with using the two-way fixed effects regression?
Apoorva Lal
The use of the two-way fixed effects regression in empirical social science was historically motivated by folk wisdom that it uncovers the Average Treatment effect on the Treated (…
econ.EM2024
Does Regression Produce Representative Causal Rankings?
Apoorva Lal
We examine the challenges in ranking multiple treatments based on their estimated effects when using linear regression or its popular double-machine-learning variant, the Partially…