Using Behavioral Economics Approach to Examine Individual Preferences for Marijuana Products

使用行为经济学方法检查个人对大麻产品的偏好

• 批准号: 10271259
• 负责人: Yuyan Shi
• 金额: $ 69.52万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-30 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10271259
• 关键词: 21 year old; Address; Adopted; Adoption; Adult; Alcohol consumption; Attention; Baseline Surveys; Behavior; Characteristics; Collaborations; Complement; Data; District of Columbia; Effectiveness; Etiology; Evaluation; Flowers; Future; Goals; Heterogeneity; Individual; Investigation; Knowledge; Legal; Light; Longitudinal cohort; Marijuana; Marketing; Measures; Medical; Methodology; Methods; Online Systems; Patient Self-Report; Policies; Population; Price; Public Health; Regulation; Research; Respondent; Sales; Sampling; Series; Solid; Source; Surveys; Testing; Tobacco use; behavioral economics; cognitive load; commercialization; design; experience; experimental study; follow-up; individual variation; innovation; marijuana legalization; marijuana use; marijuana user; novel; policy implication; preference; recruit

ABSTRACT Despite a federal prohibition against marijuana, since 2012, recreational marijuana has been legalized in 11 states and Washington DC where over a quarter of US population live. Among these jurisdictions, ten states further opened or planned to open retail markets in near future to adults aged 21 years or older. The efforts of protecting public health in the new policy regime, however, have been complicated by the lack of knowledge regarding how individuals make purchase decisions and what regulatory measures would be effective to reduce problem marijuana use. Particularly, the rapid adoption of novel products and the coexistence of illegal markets pose unprecedented public health concerns and regulatory challenges. The overarching goal is to examine the relationships between recreational marijuana regulatory strategies and individual preferences for marijuana products. We will examine a wide range of policy measures that have potential to influence individual decisions, including those regulating product characteristics, restricting promotional features, modifying availability and context, and controlling price. We will innovatively test research hypotheses using two behavioral economics approaches with distinct yet complementary strengths, namely stated preferences approach and revealed preferences approach, and integrate them to provide calibrated estimates. Specifically, we aim: 1) To quantify the relationships of product, promotional, availability, and price attributes with individual hypothetical choices on marijuana products. 2) To quantify the relationships of product, promotional, availability, and price policies with individual real-world choices on marijuana products. 3) To correct hypothetical bias in stated preferences data with revealed preferences data. We will recruit representative adult samples of never users, former users, and current users of marijuana to complete a series of web-based surveys with rigorously developed discrete choice experiments on marijuana choices. To address concerns on hypothetical bias, we will complement these experiments with revealed preferences data on real-world choices through longitudinal cohort surveys in a subsample of the respondents. Particular attention will be given to the heterogeneities in policy impacts among never users, former users, and current users and among current users with medical, recreational, and dual purposes. The project will be the first rigorous and comprehensive investigation of the impacts of policy-relevant factors on marijuana use decisions at individual level. It will advance our understanding about the potential effectiveness of marijuana policies on choices between traditional and novel products in the emerging legal markets. It will also shed light on the unintended consequences of legal market regulations on demand in the coexisting illegal markets. Overall, the project has potential to advance the methodological framework for predicting marijuana demand and facilitate rational and informed design of marijuana regulatory strategies that can be directed to protect public health.

抽象的 尽管联邦禁止大麻，但自2012年以来，休闲大麻已合法化 在11个州和华盛顿特区，美国四分之一人口居住。在这些司法管辖区中，十个 各州进一步开放或计划在不久的将来向21岁以上的成年人开放零售市场。这 但是，由于缺乏 关于个人如何做出购买决定以及将采取哪些监管措施的知识 有效减少大麻使用的问题。特别是，新产品的迅速采用 非法市场的共存提出了前所未有的公共卫生问题和监管挑战。这 总体目标是研究休闲大麻监管策略与 大麻产品的个人喜好。我们将研究具有广泛的政策措施 影响个人决策的潜力，包括规范产品特征的那些决策，限制 促销功能，修改可用性和上下文以及控制价格。我们将创新测试研究 使用两种具有不同但互补优势的行为经济学方法的假设，即 陈述的偏好方法和揭示了偏好方法，并将其集成以提供校准 估计。具体来说，我们的目的是：1）量化产品，促销，可用性和价格的关系 具有个人假设选择的大麻产品的属性。 2）量化关系 产品，促销，可用性和价格政策，具有大麻产品的个人现实选择。 3） 为了纠正具有显示偏好数据的既定偏好数据中的假设偏见。我们将招募 从未使用过用户，前用户和当前大麻用户的代表性成人样本完成系列 基于Web的调查具有严格开发的大麻选择的离散选择实验。到 解决对假设偏见的关注，我们将通过显示的偏好数据对这些实验进行补充 通过纵向队列调查在受访者的子样本中进行的选择。特别的 将注意从未用户，前用户和当前的政策影响的异质性影响 用户以及当前具有医疗，娱乐和双重目的的用户。该项目将是第一个 严格而全面的调查与政策相关因素对大麻的影响 在个人层面。它将提高我们对大麻政策潜在有效性的理解 在新兴法律市场中的传统产品和新颖产品之间的选择。它也会在 法律市场法规对共存非法市场的需求的意外后果。总体而言， 项目有潜力推进预测大麻需求并促进的方法论框架 可以针对保护公共卫生的大麻监管策略的理性和知情设计。