Replication data for: Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data

Principal Investigator(s): View help for Principal Investigator(s) Susan Athey; David Blei; Robert Donnelly; Francisco Ruiz; Tobias Schmidt

Version: View help for Version V1

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retailchoice-replication_package			10/12/2019 11:59:PM
LICENSE.txt	text/plain	14.6 KB	10/12/2019 07:59:PM

Project Citation:

Athey, Susan, Blei, David, Donnelly, Robert, Ruiz, Francisco, and Schmidt, Tobias. Replication data for: Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data. Nashville, TN: American Economic Association [publisher], 2018. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E114442V1

Project Description

Summary: We estimate a model of consumer choices over restaurants using data from several thousand anonymous mobile phone users. Restaurants have latent characteristics (whose distribution may depend on restaurant observables) that affect consumers' mean utility as well as willingness to travel to the restaurant, while each user has distinct preferences for these latent characteristics. We analyze how consumers reallocate their demand after a restaurant closes to nearby restaurants versus more distant restaurants, comparing our predictions to actual outcomes. We also address counterfactual questions such as what type of restaurant would attract the most consumers in a given location.

Scope of Project

JEL Classification:
      C44 Operations Research; Statistical Decision Theory
      C51 Model Construction and Estimation
      D12 Consumer Economics: Empirical Analysis
      L83 Sports; Gambling; Restaurants; Recreation; Tourism

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Published Versions

V1 [2019-10-12]

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DDI 2.5

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