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How does price discrimination affect the purchasing power of vulnerable populations? 


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Price discrimination can have significant impacts on the purchasing power of vulnerable populations. The use of big data and advanced information technology allows businesses to collect and utilize consumer information to target specific groups of consumers, leading to more refined price discrimination . This can result in higher prices for certain groups, including people with disabilities who may face discriminatory pricing when inaccessible websites offer online-only price specials . Price discrimination can also lead to distributional consequences, where certain consumer groups may face higher prices while others benefit from lower prices . However, it is important to note that the effects of price discrimination can vary depending on the specific context. In the case of low-income students in public higher education, deregulation and increased price discrimination actually led to a shift towards higher-return programs for disadvantaged students, facilitated by increased grant aid and supply-side enhancements . Overall, the impact of price discrimination on vulnerable populations depends on various factors such as the specific market, regulatory interventions, and the availability of financial support.

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The paper does not directly address the impact of price discrimination on the purchasing power of vulnerable populations. The paper focuses on the effects of price regulation and price discrimination on low-income students' access to opportunities in higher education.
The provided paper does not directly address the impact of price discrimination on the purchasing power of vulnerable populations.
The paper does not directly address how price discrimination affects the purchasing power of vulnerable populations.
The paper does not directly address the impact of price discrimination on the purchasing power of vulnerable populations. The paper focuses on analyzing the economic phenomenon of price discrimination and proposes using big data and network sensors to detect price changes.

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