Analysis of Umbrella Branding with Crowdsourced Data

作者: Timothy J. Richards

DOI: 10.1002/AGR.21466

关键词:

摘要: We test for umbrella effects among private label products using a new type of data: crowdsourced data, or data contributed by users an in-store shopping app their own, and other users' benefit. model in our random-parameter logit with private-label preference parameters correlated product categories. Our results support the existence limited sample where are defined as preferences labels across [JEL Classifications: D12; D43; L13; L83; M31].

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