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A Data-Driven Approach to Real Estate Price Estimation: The Case Study Slovakia

Author

Listed:
  • Julius Golej
  • Andrej Adamušin
  • Miroslav Panik
Abstract
Automated value model (AVM) is a computerized statistically based software that collects and uses Big Data in the real estate sector. It uses property information such as comparable and historical sales, property characteristics, price trends, and any other information relevant to the property in its algorithm. The effectiveness of using AVM depends on the amount and especially the quality of the data used because only high-quality data can be considered reliable and representative. At the same time, it should be added that machine data collection and evaluation in the field of real estate would never be as accurate as manual valuation, where the appraiser can, based on his knowledge and experience, take into account factors that are not taken into account and documented in the collected data, through a physical inspection. Even if an appraiser uses certain specific methods to determine the price of a property, the appraiser's subjectivity factor always enters the valuation process, which can create a certain deviation in human-generated sales prices compared to the price generated by the software. The following contribution is devoted to the issue of creating an AVM model for evaluating real estate sales prices. The authors collaborated on the creation of such a model for practice in Slovak conditions, the main goal of which was to increase the efficiency and productivity of work in the field of real estate valuation.

Suggested Citation

  • Julius Golej & Andrej Adamušin & Miroslav Panik, 2024. "A Data-Driven Approach to Real Estate Price Estimation: The Case Study Slovakia," ERES eres2024-038, European Real Estate Society (ERES).
    • Handle: RePEc:arz:wpaper:eres2024-038
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    More about this item

    Keywords

    automated value model; Big data; Real Estate Market; Real estate prices;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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