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Doctoral Dissertation Research in Economics: Direct Marketing as a Form of Price Discrimination in Residential Electricity Choice Markets

Doctoral Dissertation Research in Economics: Direct Marketing as a Form of Price Discrimination in Residential Electricity Choice Markets
经济学博士论文研究:直接营销作为住宅电力选择市场中价格歧视的一种形式
批准号:
2217111
负责人:
Meredith Fowlie
金额:
$1.19万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-08-01 至 2023-07-31

项目摘要

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中文摘要
翻译
1996年至2007年间,美国许多州向营利性公司开放了住宅电力市场。在此之前,同一城镇或城市的大多数家庭支付相同的电费。在竞争下,一些家庭支付的价格是同一城镇或城市其他家庭的三倍,低收入社区和脆弱社区的家庭往往支付的价格特别高。这项研究将调查为什么在美国东北部的一些电力市场中,低收入家庭往往比其他家庭支付更多。除其他原因外,它将探讨针对某些地理区域或社区的门到门和其他面对面营销的作用。该项目旨在通过分析额外的消费者保护政策的潜在收益和成本,帮助改善政策并减少不平等。本研究将分析零售电力重组对分配的影响。特别是,它将探讨异质性搜索壁垒和昂贵的面对面营销创造了一个双重市场的假设,在这个市场中,企业对消费者的搜索壁垒进行价格歧视。企业可以通过在网上为搜索的消费者提供低价,并直接向不搜索的消费者推销更高的价格来实现这一目标。项目组将对马里兰州和康涅狄格州的1000户家庭进行调查和随机信息干预。该调查旨在回答两个研究问题:1。为什么当有更低的价格存在时,家庭会以高价与直销商签约?2. 为什么低收入家庭的用电价格平均高于高收入家庭?随机信息干预将能够分析搜索、转换和价格结果如何随着搜索成本的降低和对搜索收益的偏见而变化。该调查还将探讨不同社会人口统计群体对捆绑属性、惯性、搜索成本、信念偏见和对电商的看法的偏好差异。区分这些机制是很重要的,因为它们对福利和政策处方有不同的影响。本研究旨在通过确定这种决策错误的关键驱动因素,并在此背景下探索企业的战略反应,建立在现有的关于住宅电力市场中无法解释的消费者决策错误的文献基础上。此外,这个项目可能在两个方面为更广泛的经济文献做出贡献。首先,它将评估价格差异的新解释。其次,它将确定搜索和直接营销障碍对社会经济群体零售价格差异的影响,在一个特别干净的环境中,没有常见的混杂因素,如支付风险的差异。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Many U.S. states opened residential electricity markets to competition from for-profit companies between 1996 and 2007. Prior to this time, most households in the same town or city paid the same price for electricity. Under competition, some households pay prices triple the prices of other households in their same town or city, and households in low-income neighborhoods and vulnerable communities tend to pay particularly high prices. This research will investigate why low-income households tend to pay more than other households in a few Northeast U.S. electricity markets. Among other reasons, it will explore the role of door-to-door and other in-person marketing that is targeted at certain geographic areas or communities. The project aims to help improve policy and reduce inequality by analyzing the potential benefits and costs of additional consumer protection policies.This research will analyze distributional impacts of retail electricity restructuring. In particular, it will explore the hypothesis that heterogeneous barriers to search and costly in-person marketing create a dual market where firms price discriminate on consumers’ barriers to search. Firms may achieve this by offering low prices online for consumers who search and directly marketing higher prices to consumers who do not search. The project team will conduct a survey and randomized information intervention of 1,000 households in Maryland and Connecticut. The survey aims to answer two research questions: 1. Why do households sign up with direct marketers at high prices when lower prices exist? 2. Why do low-income households sign up for electricity products at higher prices, on average, than high-income households? The randomized information intervention will enable analysis of how search, switching, and price outcomes change with reductions in search costs and biases about the benefits of searching. The survey will also explore differences across sociodemographic groups in preferences for bundled attributes, inertia, search costs, belief biases, and perceptions of electricity marketers. It is important to differentiate between these mechanisms since they have differing implications for welfare and policy prescriptions. This research aims to build on existing literature on unexplained consumer decision error in residential electricity markets by identifying the key drivers of this decision error and exploring strategic firm response in this context. In addition, this project may contribute to the broader economic literature in two ways. First, it will assess a new explanation for price dispersion. Second, it will identify the impact of barriers to search and direct marketing on retail price differences across socioeconomic groups in a particularly clean setting that is free from common confounders, such as differences in payment risk.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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