Abstract
The study is focused on the payment behaviour of people, purchasing in categories, related to luxury. Since purchasing in special categories is related to more complex payment behaviour with higher variability for certain people, the observations contain more complex and rare purchase patterns, which require additional processing algorithms. In the current research, we implement data processing allowing for capturing transitions to luxury purchases in personal consumption trajectories. We provide a statistical analysis of socio-demographic and financial properties of the luxury sample, and extract significant purchase categories, distinguishing it from the general data set. Markov model is used to represent transition probabilities from arbitrary states of initial data set into luxury purchasing group, which allows for describing purchase behaviour preceding to luxury consumption.
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