Estimating heterogeneous consumer preferences for restaurants and travel time using mobile location data
Published in AEA Papers and Proceedings
We estimate a model of consumer choices over restaurants using data from thousands of anonymous mobile phone users. We analyze how consumers reallocate their demand after a restaurant closes and make predictions about what types of restaurants would attract the most customers in a given location.
