Location choice with longitudinal WiFi data

Antonin Danalet, Loïc Tinguely, Matthieu de Lapparent and Michel Bierlaire

Journal of choice modelling, 2016, vol. 18, issue C, 1-17

Abstract: Location-aware data collection technologies provide new insights about location choices. Only a few dynamic models of location choice exist in scientific literature. To our knowledge, none of them correct for serial correlation. In this paper, we model choice of catering locations on a campus using WiFi traces. We use the Wooldridge (2005) correction method that deals with the initial values problem and related endogeneity bias in estimation. Cross-validation, price elasticity and simulation of a scenario predicting the opening of a new catering location are presented. Predicted market shares of the new catering location correspond to point-of-sale data of the first week of opening.

Keywords: Location choice; Panel data; Pedestrians; Dynamic model; Initial conditions problem (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eejocm:v:18:y:2016:i:c:p:1-17

DOI: 10.1016/j.jocm.2016.04.003

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