This paper aims to determine why consumer purchasing of fast moving consumer goods varies over time in Spain. More specifically, we want to explain multiple-store shopping in the households belonging to an AC Nielsen panel that provides information about household shopping decisions between April 2003 and April 2004. In order to achieve this purpose, a Bayesian Dynamic Tobit model is used. The results allow us to confirm the influence of several demographical and geographical variables on household multiple-store shopping during the sample period. Managerial implications are drawn and future lines of research are suggested.
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