Orthogonal ML for Demand Estimation: High Dimensional Causal Inference in Dynamic Panels∗

By Vira Semenova. 2018

Subfields: Causal Inference & Discovery, Economics & Operations Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Causal Inference & Discovery

1. David M. Blei
2. Francisco J. R. Ruiz
3. Susan Athey
4. Stefan Wager
5. Mihaela van der Schaar
6. Ahmed M. Alaa
7. Guido W. Imbens
8. Victor Chernozhukov

In Economics & Operations Research

1. Susan Athey
2. Francisco J. R. Ruiz
3. David M. Blei
4. Guido W. Imbens
5. Stefan Wager

Citations in the corpus

• SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements (2017, background): “A complementary approach to ours is the work by Semenova et al. (2018), who consider observational high-dimensional product attributes (e.”