利用多项式 Logit 模型分析美国的品牌芯片需求

Merve Özbağ Keçeci
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引用次数: 0

摘要

本研究利用 IRI 扫描数据估算了 52 个芯片品牌的需求量。多叉对数模型解决了需求估计中的维度和内生性问题。所有品牌的需求都很有弹性,自有价格弹性在-5.0412 和-1.4251 之间,表明消费者对价格变化的反应能力很强。值得注意的是,玉米片品牌的弹性低于薯片品牌。烘焙薯片品牌属于高弹性品牌。Funyuns 的需求弹性最大,而 Calidad Triangle 的需求弹性最小。交叉价格弹性(0.0010 至 0.0263)表现出 IIA 特性,表明消费者具有品牌忠诚度,这一点可以从与自有价格弹性的大小比较中看出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analyzing Brand-Level Chips Demand in the United States Using the Multinomial Logit Model
This study estimates demand for 52 chip brands using IRI scanner data. The multinomial logit model addresses dimensionality and endogeneity issues in demand estimation. All brands exhibit elastic demand, with own-price elasticities between -5.0412 and -1.4251, indicating high consumer responsiveness to price changes. Notably, tortilla chip brands are less elastic than potato chip brands. Baked chip brands fall under the category of highly elastic brands. Funyuns has the most elastic demand, while Calidad Triangle has the least elastic demand. Cross-price elasticities (0.0010 to 0.0263), exhibiting the IIA property, indicate that consumers have brand loyalty, as seen by comparisons with own-price elasticities' magnitudes.
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