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GENERAL INTRODUCTION  This thesis is breathing new life into the location choice models of establishments. The need for methodological advances in order to model more realistically the complexity of establishments' decision-making processes, such as their optimal location choices process  is the key motivation of this thesis. First, location choice models use geo-referenced data, for which choice sets have an explicit spatial component. Itthus  is thus  critical to understand and represent spatial aspect in location choice models. In addition, what makes these discrete choices particularly interesting and challenging to analyze is that decisions of a particular establishment are interrelated with choices of the others. These thorny problems posed by the interdependence of decisions generally cannot be assumed away, without altering the realism of the model of establishment decision making. The conventional approaches to location selection, i.e., traditional theory and methods, fail by providing only a set of systematic steps for problem-solving without considering strategic interactions between the establishments in the market. Less is known about how to correctly adapt location choice models to study establishments' discrete choices when they are interrelated. 1)