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A Comparison of Regression and Artificial Intelligence Methods in a Mass Appraisal Context

Citations

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Cited by:

  1. João A. Bastos & Jeanne Paquette, 2025. "On the uncertainty of real estate price predictions," Journal of Property Research, Taylor & Francis Journals, vol. 42(1), pages 1-19, January.
  2. Juergen Deppner & Marcelo Cajias, 2024. "Accounting for Spatial Autocorrelation in Algorithm-Driven Hedonic Models: A Spatial Cross-Validation Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 68(2), pages 235-273, February.
  3. de Oliveira, Antônio Augusto Ferreira & Reyes-Bueno, Fabián & González, Marco Aurelio Stumpf & da Silva, Everton, 2025. "Comparing traditional and machine learning techniques in apartments mass appraisal in Fortaleza, Brazil," Aestimum, Italian Association of Appraisers and Land Economists, vol. 85.
  4. Cihan Çılgın & Hadi Gökçen, 2025. "A Hybrid Machine Learning Model Architecture with Clustering Analysis and Stacking Ensemble for Real Estate Price Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 66(1), pages 127-178, July.
  5. Takahiro Yoshida & Daisuke Murakami & Hajime Seya, 2024. "Spatial Prediction of Apartment Rent using Regression-Based and Machine Learning-Based Approaches with a Large Dataset," The Journal of Real Estate Finance and Economics, Springer, vol. 69(1), pages 1-28, July.
  6. Tothăzan Helga Flavia, 2022. "The contribution of statistical models in the field of real estate valuation," Timisoara Journal of Economics and Business, Sciendo, vol. 15(1), pages 111-126.
  7. Unel, Fatma Bunyan & Yalpir, Sukran, 2023. "Sustainable tax system design for use of mass real estate appraisal in land management," Land Use Policy, Elsevier, vol. 131(C).
  8. Horvath, Sabine & Soot, Matthias & Zaddach, Sebastian & Neuner, Hans & Weitkamp, Alexandra, 2021. "Deriving adequate sample sizes for ANN-based modelling of real estate valuation tasks by complexity analysis," Land Use Policy, Elsevier, vol. 107(C).
  9. Daikun Wang & Victor Jing Li, 2019. "Mass Appraisal Models of Real Estate in the 21st Century: A Systematic Literature Review," Sustainability, MDPI, vol. 11(24), pages 1-14, December.
  10. Sebastian Gnat & Mariusz Doszyn, 2020. "Parametric and Non-parametric Methods in Mass Appraisal on Poorly Developed Real Estate Markets," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 1230-1245.
  11. William Cheung & Lewen Guo & Yuichiro Kawaguchi, 2021. "Automated valuation model for residential rental markets: evidence from Japan," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-34, December.
  12. Sisman, S. & Aydinoglu, A.C., 2022. "Improving performance of mass real estate valuation through application of the dataset optimization and Spatially Constrained Multivariate Clustering Analysis," Land Use Policy, Elsevier, vol. 119(C).
  13. Felix Lorenz & Jonas Willwersch & Marcelo Cajias & Franz Fuerst, 2023. "Interpretable machine learning for real estate market analysis," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(5), pages 1178-1208, September.
  14. My-Linh Thi Nguyen, 2020. "The Hedonic Pricing Model Applied to the Housing Market," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(3), pages 416-428.
  15. Kim, Woo-sung & Song, Mihyeong & Jeong, Mincheol & Jung, Seung Hwan, 2025. "A supervised learning-based optimization for container pre-loading problem," International Journal of Production Economics, Elsevier, vol. 287(C).
  16. Kokot Sebastian & Gnat Sebastian, 2019. "Simulative Verification of the Possibility of using Multiple Regression Models for Real Estate Appraisal," Real Estate Management and Valuation, Sciendo, vol. 27(3), pages 109-123, September.
  17. Yilmazer, Seckin & Kocaman, Sultan, 2020. "A mass appraisal assessment study using machine learning based on multiple regression and random forest," Land Use Policy, Elsevier, vol. 99(C).
  18. Tien Foo Sing & Jesse Jingye Yang & Shi Ming Yu, 2022. "Boosted Tree Ensembles for Artificial Intelligence Based Automated Valuation Models (AI-AVM)," The Journal of Real Estate Finance and Economics, Springer, vol. 65(4), pages 649-674, November.
  19. Benzer, Semra & Garabaghi, Farid Hassanbaki & Benzer, Recep & Güni, Hicret Çimen, 2025. "Sustainable environmental education: Some machine learning algorithms in the classification of sustainable environmental attitudes," Evaluation and Program Planning, Elsevier, vol. 112(C).
  20. Joyce de Souza Zanirato Maia & Ana Paula Arantes Bueno & Joao Ricardo Sato, 2023. "Applications of Artificial Intelligence Models in Educational Analytics and Decision Making: A Systematic Review," World, MDPI, vol. 4(2), pages 1-26, May.
  21. Mariusz Doszyń, 2024. "Might expert knowledge improve econometric real estate mass appraisal?," The Journal of Real Estate Finance and Economics, Springer, vol. 69(4), pages 719-740, November.
  22. Susanna Levantesi & Gabriella Piscopo, 2020. "The Importance of Economic Variables on London Real Estate Market: A Random Forest Approach," Risks, MDPI, vol. 8(4), pages 1-17, October.
  23. Sebastian Gnat, 2021. "Property Mass Valuation on Small Markets," Land, MDPI, vol. 10(4), pages 1-14, April.
  24. Juergen Deppner & Benedict Ahlefeldt-Dehn & Eli Beracha & Wolfgang Schaefers, 2025. "Boosting the Accuracy of Commercial Real Estate Appraisals: An Interpretable Machine Learning Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 71(2), pages 314-351, August.
  25. Doan, Quang Cuong, 2023. "Determining the optimal land valuation model: A case study of Hanoi, Vietnam," Land Use Policy, Elsevier, vol. 127(C).
  26. Doszyń Mariusz, 2020. "Econometric Support of a Mass Valuation Process," Folia Oeconomica Stetinensia, Sciendo, vol. 20(1), pages 81-94, June.
  27. Jose A. Rodriguez-Serrano, 2025. "Prototype-based learning for real estate valuation: a machine learning model that explains prices," Annals of Operations Research, Springer, vol. 344(1), pages 287-311, January.
  28. Gnat Sebastian, 2020. "Impact of the Regularization of Regression Models on the Results of the Mass Valuation of Real Estate," Folia Oeconomica Stetinensia, Sciendo, vol. 20(1), pages 163-176, June.
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