Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data
AEA PAPERS AND PROCEEDINGS, pp. 64-67, 2018.
Abstract:
This paper analyzes consumer choices over lunchtime restaurants using data from a sample of several thousand anonymous mobile phone users in the San Francisco Bay Area. The data is used to identify usersu0027 approximate typical morning location, as well as their choices of lunchtime restaurants. We build a model where restaurants have la...More
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