Danalet, A., Tinguely, L., de Lapparent, M., and Bierlaire, M. (2016)
Location choice with longitudinal WiFi data, Journal of Choice Modelling 18:1-17.
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, J. M. (2005). Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity, Journal of Applied Econometrics 20(1): 39-54.] 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.
doi:10.1016/j.jocm.2016.04.003 (click here for the full paper)