The Design and Targeting of Compliance Promotions

2023/04/07 by Øystein Daljord, Carl F. Mela, Jason M.T. Roos +2 · 1 voice · 1 citation
Business, Management and Accounting · Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #Consumer Market Behavior and Pricing #Health Systems, Economic Evaluations, Quality of Life

paper · doi:10.1287/mksc.2022.1420

openalex publication_date 2023/04/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/11

Abstract

This paper addresses how and when to extrapolate experimental results for normative policy analysis, particularly in the context of compliance promotions in which consumers can self-select into treatment.

Citations

• Estimating causal effects of treatments in randomized and nonrandomized studies.
• Doubly Robust Estimation in Missing Data and Causal Inference Models
• Sample Selection Bias as a Specification Error

Cited by

• Personalization and targeting: how to experiment, learn & optimize

Discussions

• Excellent thread introducing marginal treatment effects. We use this framework to optimize promotions using data from a field experiment (doi.org/10.1287/mksc...), and I’m currently working on a new i [bsky, 4 points, 1 comments]

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