福利经济学基础与产品市场应用

D. McFadden
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引用次数: 8

摘要

应用经济学中的一个常见问题是确定由于政策变化而引起的市场产品的价格和属性变化对消费者的影响。例如,对产品安全性和可靠性的前瞻性监管,或对缺陷产品或产品功能失实陈述造成的损害的回顾性赔偿。本文重新审视了福利分析在这些应用中的基础。我们考虑了离散产品选择,并开发了实用的公式,适用于当离散产品需求以混合多项逻辑模型为特征,以及政策变化影响产品的享乐属性时。我们表明,对于具有追溯性或前瞻性的应用程序,但补偿转移是假设的,而不是实现的,更新马歇尔消费者剩余的市场补偿等效措施比希克斯补偿或等效变化更合适。我们确定的福利问题,可以回答存在的部分可观察性的个人消费者的偏好。当消费者的经验效用不同于决定市场需求的决策效用时,我们将研究福利演算,这是由于产品属性和与消费者需求交互的偶然性解决的结果,或者是由于品味不一致和不完全优化行为的结果。最后,我们用一个说明性应用程序来计算视频流服务未经授权共享消费者信息对福利的影响。
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Foundations of Welfare Economics and Product Market Applications
A common problem in applied economics is to determine the impact on consumers of changes in prices and attributes of marketed products as a consequence of policy changes. Examples are prospective regulation of product safety and reliability, or retrospective compensation for harm from defective products or misrepresentation of product features. This paper reexamines the foundations of welfare analysis for these applications. We consider discrete product choice, and develop practical formulas that apply when discrete product demands are characterized by mixed multinomial logit models and policy changes affect hedonic attributes of products in addition to price. We show that for applications that are retrospective, or are prospective but compensating transfers are hypothetical rather than fulfilled, a Market Compensating Equivalent measure that updates Marshallian consumer surplus is more appropriate than Hicksian compensating or equivalent variations. We identify the welfare questions that can be answered in the presence of partial observability on the preferences of individual consumers. We examine the welfare calculus when the experienced-utility of consumers differs from the decision-utility that determines market demands, as the result of resolution of contingencies regarding attributes of products and interactions with consumer needs, or as the result of inconsistencies in tastes and incomplete optimizing behavior. We conclude with an illustrative application that calculates the welfare impacts of unauthorized sharing of consumer information by video streaming services.
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