Which econometric method should you use for causal inference of health policy?

TL;DR A paper by Ress and Wild (2024) provide the following recommendations in answering this question. When aiming to control for a large covariate set, consider using the superlearner to estimate nuisance parameters. When employing the superlearner to estimate nuisance parameters, consider using doubly robust estimation approaches, such as AIPW and TMLE. When faced with…

What is collider bias?

A paper by Holmberg et al. (2022) in JAMA provides a number of examples of how collider bias can lead to problematic causal inference. The term collider bias is often invoked when using directed acyclic graphs (DAGs) to map the causal pathway. Collider bias occurs when you aim to measure the impact of A on…