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，娱乐性大麻已合法化 超过四分之一的美国人口居住在 11 个州和华盛顿特区。在这些司法管辖区中，有十个 各州进一步开放或计划在不久的将来向21岁或以上的成年人开放零售市场。这 然而，由于缺乏足够的支持，新政策体制中保护公众健康的努力变得复杂化。 有关个人如何做出购买决定以及将采取哪些监管措施的知识 有效减少问题大麻的使用。特别是新颖产品的快速采用和 非法市场的共存带来了前所未有的公共卫生问题和监管挑战。这 总体目标是研究娱乐性大麻监管策略与 对大麻产品的个人偏好。我们将研究一系列广泛的政策措施 影响个人决策的潜力，包括那些规范产品特性、限制 促销功能、修改可用性和环境以及控制价格。我们将创新地测试研究 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 陈述偏好方法和显示偏好方法，并将它们整合起来以提供校准 估计。具体来说，我们的目标是： 1) 量化产品、促销、可用性和价格之间的关系 大麻产品的个人假设选择的属性。 2）量化关系 产品、促销、可用性和价格政策以及大麻产品的个人现实选择。 3） 通过揭示的偏好数据来纠正陈述偏好数据中的假设偏差。我们将招募 从未吸食大麻、以前吸食大麻和当前吸食大麻的成人代表性样本，以完成一系列 基于网络的调查以及严格开发的大麻选择离散选择实验。到 为了解决对假设偏差的担忧，我们将用揭示的偏好数据来补充这些实验 通过对受访者子样本进行纵向队列调查来了解现实世界的选择。特别的 将关注从未使用者、前使用者和当前使用者之间政策影响的异质性 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 对政策相关因素对大麻使用决定的影响进行严格和全面的调查 在个人层面。它将加深我们对大麻政策潜在有效性的了解 新兴合法市场中传统产品和新颖产品之间的选择。它还将阐明 合法的市场监管对共存的非法市场的需求产生了意想不到的后果。总体而言， 项目有潜力推进预测大麻需求的方法框架并促进 合理、知情地设计可用于保护公众健康的大麻监管策略。