Doctors and Nurses Social Media Ads Reduced Holiday Travel and COVID-19 infections: A cluster randomized controlled trial in 13 States

no code implementations • 21 Jun 2021 • Emily Breza, Fatima Cody Stanford, Marcela Alsan, M. D. Ph. D., Burak Alsan, Abhijit Banerjee, Arun G. Chandrasekhar, Sarah Eichmeyer, Traci Glushko, Paul Goldsmith-Pinkham, Kelly Holland, Emily Hoppe, Mohit Karnani, Sarah Liegl, Tristan Loisel, Lucy Ogbu-Nwobodo, Benjamin A. Olken Carlos Torres, Pierre-Luc Vautrey, Erica Warner, Susan Wootton, Esther Duflo

In the second level, we randomly assigned zip codes to either treatment or control such that 75% of zip codes in high intensity counties received the treatment, while 25% of zip codes in low intensity counties received the treatment.

Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India

2 code implementations • 13 Dec 2017 • Victor Chernozhukov, Mert Demirer, Esther Duflo, Iván Fernández-Val

We propose strategies to estimate and make inference on key features of heterogeneous effects in randomized experiments.

BIG-bench Machine Learning Variational Inference

Double/Debiased/Neyman Machine Learning of Treatment Effects

no code implementations • 30 Jan 2017 • Victor Chernozhukov, Denis Chetverikov, Mert Demirer, Esther Duflo, Christian Hansen, Whitney Newey

A more general discussion and references to the existing literature are available in Chernozhukov, Chetverikov, Demirer, Duflo, Hansen, and Newey (2016).

BIG-bench Machine Learning valid

Double/Debiased Machine Learning for Treatment and Causal Parameters

4 code implementations • 30 Jul 2016 • Victor Chernozhukov, Denis Chetverikov, Mert Demirer, Esther Duflo, Christian Hansen, Whitney Newey, James Robins

Fortunately, this regularization bias can be removed by solving auxiliary prediction problems via ML tools.

BIG-bench Machine Learning Causal Inference +1