Esther Duflo

Selected Publications

Generic machine learning inference on heterogenous treatment effects in randomized experiments

We propose strategies to estimate and make inference on key features of heterogeneous effects in randomized […]

Victor Chernozhukov, Mert Demirer, Esther Duflo, Ivan Fernandez-Val
30 December 2017 | CWP61/17
Double/debiased machine learning for treatment and structural parameters

We revisit the classic semiparametric problem of inference on a low dimensional parameter θ0 in the […]

Victor Chernozhukov, Denis Chetverikov, Mert Demirer, Esther Duflo, Christian Hansen, Whitney K. Newey, James Robins
2 June 2017 | CWP28/17
Double machine learning for treatment and causal parameters

Most modern supervised statistical/machine learning (ML) methods are explicitly designed to solve prediction problems very well. […]

Victor Chernozhukov, Denis Chetverikov, Mert Demirer, Esther Duflo, Christian Hansen, Whitney K. Newey
27 September 2016 | CWP49/16