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Prediction accuracy in mass appraisal: a comparison of modern approaches

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  1. 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.
  2. Helga Flavia Tothăzan & Adela Deaconu, 2020. "Neuronal Network Artificial Model for Real Estate Appraisal: Logic, controversies, and utility for the Romanian context," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 1093-1100, December.
  3. Sabina Zrobek & Oleksandra Kovalyshyn & Małgorzata Renigier‐Biłozor & Stepan Kovalyshyn & Oleg Kovalyshyn, 2020. "Fuzzy logic method of valuation supporting sustainable development of the agricultural land market," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(5), pages 1094-1105, September.
  4. Kalkuhl, Matthias & Fernandez Milan, Blanca & Schwerhoff, Gregor & Jakob, Michael & Hahnen, Maren & Creutzig, Felix, 2017. "Fiscal Instruments for Sustainable Development: The Case of Land Taxes," MPRA Paper 78652, University Library of Munich, Germany.
  5. 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.
  6. Dieudonné Tchuente & Serge Nyawa, 2022. "Real estate price estimation in French cities using geocoding and machine learning," Annals of Operations Research, Springer, vol. 308(1), pages 571-608, January.
  7. Natividad Guadalajara & Miguel Ángel López & Adina Iftimi & Antonio Usai, 2021. "Influence of the Cadastral Value of the Urban Land and Neighborhood Characteristics on the Mean House Mortgage Appraisal," Land, MDPI, vol. 10(3), pages 1-17, March.
  8. Lenaers, Ian & De Moor, Lieven, 2023. "Exploring XAI techniques for enhancing model transparency and interpretability in real estate rent prediction: A comparative study," Finance Research Letters, Elsevier, vol. 58(PA).
  9. Doszyń Mariusz, 2020. "Econometric Support of a Mass Valuation Process," Folia Oeconomica Stetinensia, Paradigm, vol. 20(1), pages 81-94, June.
  10. Gregor Schwerhoff & Ottmar Edenhofer & Marc Fleurbaey, 2020. "Taxation Of Economic Rents," Journal of Economic Surveys, Wiley Blackwell, vol. 34(2), pages 398-423, April.
  11. Michalis Doumpos & Dimitrios Papastamos & Dimitrios Andritsos & Constantin Zopounidis, 2021. "Developing automated valuation models for estimating property values: a comparison of global and locally weighted approaches," Annals of Operations Research, Springer, vol. 306(1), pages 415-433, November.
  12. Renigier-Biłozor, Malgorzata & Janowski, Artur & d’Amato, Maurizio, 2019. "Automated Valuation Model based on fuzzy and rough set theory for real estate market with insufficient source data," Land Use Policy, Elsevier, vol. 87(C).
  13. Jeffrey P. Cohen & Cletus C. Coughlin & Jeffrey Zabel, 2020. "Time-Geographically Weighted Regressions and Residential Property Value Assessment," The Journal of Real Estate Finance and Economics, Springer, vol. 60(1), pages 134-154, February.
  14. 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.
  15. Jennifer Priefer & Jan-Peter Kucklick & Daniel Beverungen & Oliver Müller, 2025. "Elucidating the Predictive Power of Search and Experience Qualities for Pricing of Complex Goods: A Machine Learning-based Study on Real Estate Appraisal," Working Papers Dissertations 138, Paderborn University, Faculty of Business Administration and Economics.
  16. Tanashkin, Alexey S. & Tanashkina, Irina G. & Maksimchuik, Alexander S., 2026. "Modern approaches to building interpretable models of the property market using machine learning on the base of mass cadastral valuation," Land Use Policy, Elsevier, vol. 165(C).
  17. Füss, Roland & Koller, Jan A., 2016. "The role of spatial and temporal structure for residential rent predictions," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1352-1368.
  18. Kumhof, Michael & Tideman, Nicolaus & Hudson, Michael & Goodhart, Charles, 2021. "Post-Corona Balanced-Budget Super-Stimulus: The Case for Shifting Taxes onto Land," CEPR Discussion Papers 16652, Centre for Economic Policy Research.
  19. Jose Torres-Pruñonosa & Pablo García-Estévez & Josep Maria Raya & Camilo Prado-Román, 2022. "How on Earth Did Spanish Banking Sell the Housing Stock?," SAGE Open, , vol. 12(1), pages 21582440221, March.
  20. Yue Ying & Mila Koeva & Monika Kuffer & Kwabena Obeng Asiama & Xia Li & Jaap Zevenbergen, 2020. "Making the Third Dimension (3D) Explicit in Hedonic Price Modelling: A Case Study of Xi’an, China," Land, MDPI, vol. 10(1), pages 1-26, December.
  21. Tothăzan Helga Flavia, 2022. "The contribution of statistical models in the field of real estate valuation," Timisoara Journal of Economics and Business, Paradigm, vol. 15(1), pages 111-126.
  22. 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.
  23. Jun Kang & Hyun Jun Lee & Seung Hwan Jeong & Hee Soo Lee & Kyong Joo Oh, 2020. "Developing a Forecasting Model for Real Estate Auction Prices Using Artificial Intelligence," Sustainability, MDPI, vol. 12(7), pages 1-19, April.
  24. Daikun Wang & Victor Jing Li & Huayi Yu, 2020. "Mass Appraisal Modeling of Real Estate in Urban Centers by Geographically and Temporally Weighted Regression: A Case Study of Beijing’s Core Area," Land, MDPI, vol. 9(5), pages 1-18, May.
  25. Zabel, Jeffrey, 2022. "A matching method for land valuation," Journal of Housing Economics, Elsevier, vol. 58(PA).
  26. Renigier-Biłozor, Małgorzata & Źróbek, Sabina & Walacik, Marek & Borst, Richard & Grover, Richard & d’Amato, Maurizio, 2022. "International acceptance of automated modern tools use must-have for sustainable real estate market development," Land Use Policy, Elsevier, vol. 113(C).
  27. Lockwood, Tony & Coffee, Neil T & Rossini, Peter & Niyonsenga, Theo & McGreal, Stanley, 2018. "Does where you live influence your socio-economic status?," Land Use Policy, Elsevier, vol. 72(C), pages 152-160.
  28. 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.
  29. Kalkuhl, Matthias & Fernandez Milan, Blanca & Schwerhoff, Gregor & Jakob, Michael & Hahnen, Maren & Creutzig, Felix, 2018. "Can land taxes foster sustainable development? An assessment of fiscal, distributional and implementation issues," Land Use Policy, Elsevier, vol. 78(C), pages 338-352.
  30. 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.
  31. Silviu-IonuÈ› BÄ‚BÈšAN, 2024. "AUTOMATED EVALUATION MODELS in real estate market: A comparative analysis between linear regression and XGBoost," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(26), pages 1-3.
  32. Hendrik Jenett & Cathrine Nagl & Maximilian Nagl & S. McKay Price & Wolfgang Schaefers, 2026. "Dynamics of REIT Returns and Volatility: Analyzing Time-Varying Drivers Through an Explainable Machine Learning Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 72(1), pages 1-40, January.
  33. Wojciech Kisiała & Izabela Rącka, 2021. "Spatial and Statistical Analysis of Urban Poverty for Sustainable City Development," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
  34. Moritz Stang & Bastian Krämer & Cathrine Nagl & Wolfgang Schäfers, 2023. "From human business to machine learning—methods for automating real estate appraisals and their practical implications [Vom Vergleichswertverfahren zum maschinellen Lernen – Methoden zur automatisierten Wertermittlung von Wohnimmobilien und deren ," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 9(2), pages 81-108, October.
  35. 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.
  36. Thomas R. Cook & Zach Modig & Nathan M. Palmer, 2021. "Explaining Machine Learning by Bootstrapping Partial Marginal Effects and Shapley Values," Research Working Paper RWP 21-12, Federal Reserve Bank of Kansas City, revised 06 Aug 2024.
  37. Sebastian Gnat, 2021. "Property Mass Valuation on Small Markets," Land, MDPI, vol. 10(4), pages 1-14, April.
  38. Shulu Che & Ronald Ravinesh Kumar & Peter J. Stauvermann, 2021. "Taxation of Land and Economic Growth," Economies, MDPI, vol. 9(2), pages 1-20, April.
  39. 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.
  40. Gnat Sebastian, 2020. "Impact of the Regularization of Regression Models on the Results of the Mass Valuation of Real Estate," Folia Oeconomica Stetinensia, Paradigm, vol. 20(1), pages 163-176, June.
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