Dominik Filipiak | Agata Filipowska
pages: 21-31, JEL classification: C43, C51, G11, Z11, Key words: art market analysis, hedonic regression, Abstract: Due to the constantly growing interest in alternative investments, the art market has become the subject of numerous studies. By publishing sales data, many services and auction houses provide a foundation for further research on the latest trends. Determining the definition of the artistic value or formalisation of appraisal may be considered quite complex. Statistical analysis, econometric methods or data mining techniques could pave the way towards better understanding of the mechanisms occurring on the art market. The goal of this paper is to identify, describe and compare solutions (and related challenges) that help to analyse, make decisions and define state of the art in the context of the intersection of econometrics on art markets and computer science. This work is also a starting point for further research.