The Problem of Ignoring the Ignorability Assumption in Advertising Measurement: A Matrix Completion Solution
This paper frames the overlap violation problem in online advertising auctions as a missing-data problem and proposes a matrix completion approach to correct the resulting bias in observational studies with algorithmic ad allocation.
Authors
- Omid Rafieian (ORCID: https://orcid.org/0000-0001-8633-2302)
Institutions
- Cornell University (US)
- Cornell Tech (US)
Publication Details
- Journal
- Marketing Science
- Published
- 2026-10-29
- DOI
- https://doi.org/10.1287/mksc.2023.0382
- Primary Topic
- Advanced Causal Inference Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00