A Personalized BDM Mechanism for Efficient Market Intervention Experiments
Author:
Affiliation:
1. Stanford University, Stanford, CA, USA
Funder
NSF
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3219166.3219220
Reference37 articles.
1. Alekh Agarwal Sarah Bird Markus Cozowicz Luong Hoang John Langford Stephen Lee Jiaji Li Dan Melamed Gal Oshri Oswaldo Ribas Siddhartha Sen and Alex Slivkins. 2016. Making Contextual Decisions with Low Technical Debt. arXiv preprint arXiv:1606.03966 (2016). Alekh Agarwal Sarah Bird Markus Cozowicz Luong Hoang John Langford Stephen Lee Jiaji Li Dan Melamed Gal Oshri Oswaldo Ribas Siddhartha Sen and Alex Slivkins. 2016. Making Contextual Decisions with Low Technical Debt. arXiv preprint arXiv:1606.03966 (2016).
2. Self-Targeting: Evidence from a Field Experiment in Indonesia
3. Joshua D Angrist and Jörn-Steffen Pischke. 2008. Mostly harmless econometrics: An empiricist's companion. Princeton University Press. Joshua D Angrist and Jörn-Steffen Pischke. 2008. Mostly harmless econometrics: An empiricist's companion. Princeton University Press.
4. Data-Adaptive Causal Effects and Superefficiency
5. Estimating average causal effects under general interference, with application to a social network experiment
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