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How much is the view from the window worth? Machine learning-driven hedonic pricing model of the real estate market

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  • Potrawa, Tomasz
  • Tetereva, Anastasija

Abstract

Understanding the customers’ perception of the value of constituent characteristics of a good is among the key questions in any pricing strategy. Hedonic pricing allows such an analysis and is frequently applied in economic fields. Although it is regarded as a benchmark in its original form, the availability of new data sources and the development of machine learning techniques created a space for further improvement. In this study, we propose a general framework for applying machine learning tools to enhance the hedonic pricing model in several directions. We do this, first, by adding image and text sources to conventional data and then by applying an advanced nonparametric prediction model. Lastly, we use model agnostic analysis to uncover new pricing factors and unravel complex relationships that could not be captured by conventional models.

Suggested Citation

  • Potrawa, Tomasz & Tetereva, Anastasija, 2022. "How much is the view from the window worth? Machine learning-driven hedonic pricing model of the real estate market," Journal of Business Research, Elsevier, vol. 144(C), pages 50-65.
    • Handle: RePEc:eee:jbrese:v:144:y:2022:i:c:p:50-65
    DOI: 10.1016/j.jbusres.2022.01.027
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    2. Seung-Jin Han & Won-Jae Lee & So-Hee Kim & Sang-Hoon Yoon & Won Shick Ryu & Hyunwoong Pyun & Daehwan Kim, 2022. "Effects of the Olympic Announcement and the Actual Event on Property Values: The Case of the 2018 PyeongChang Winter Olympic Games," Sustainability, MDPI, vol. 14(14), pages 1-16, July.
    3. Chin-Tai Kuo & Yu-Hsi Yuan & Wang-Ze Gao & Chia-Ning Jao, 2023. "The Impact of Recognized Features of Uncomfortable Houses on Auction Prices: A Chinese Cultural Perspective," SAGE Open, , vol. 13(4), pages 21582440231, December.
    4. Cankaya, Burak & Topuz, Kazim & Delen, Dursun & Glassman, Aaron, 2023. "Evidence-based managerial decision-making with machine learning: The case of Bayesian inference in aviation incidents," Omega, Elsevier, vol. 120(C).

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