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Consumers decide what to purchase, under conditions of constraint (e.g., commodity price). According to behavioral economic demand, commodity purchase task (CPT) can measure hypothetical decisions about purchases under varied simulated policy conditions (e.g., introduction of new cigarette taxes, happy hour drinking specials). These tasks permit rapid data collection without sacrificing methodological rigor or the validity of conclusions reached. The CPT allows researchers to simulate new policies, to determine their relative risks and benefits, thus offering an opportunity to optimize prior to rollout. Behavioral outcomes related to consumer purchases also make the CPT data readily translatable to policymakers, including constituent health behavior. This article provides a background on CPTs, a review of literature related to policy-aimed CPTs, and a start on best practices for other behavioral scientists interested in applying CPT to inform public policy efforts. It also serves as a primer for policymakers seeking to evaluate usage of this tool.
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