IDEAS home Printed from https://ideas.repec.org/r/taf/jpropr/v30y2013i4p239-265.html

Prediction accuracy in mass appraisal: a comparison of modern approaches

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. 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.
  2. 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.
  3. 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.
  4. 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).
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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 automatisi," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 9(2), pages 81-108, October.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. Zabel, Jeffrey, 2022. "A matching method for land valuation," Journal of Housing Economics, Elsevier, vol. 58(PA).
  20. 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.
  21. 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.
  22. 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.
  23. 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).
  24. 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, C.E.P.R. Discussion Papers.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. Sebastian Gnat, 2021. "Property Mass Valuation on Small Markets," Land, MDPI, vol. 10(4), pages 1-14, April.
  30. 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.
  31. 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.
  32. 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).
  33. Doszyń Mariusz, 2020. "Econometric Support of a Mass Valuation Process," Folia Oeconomica Stetinensia, Sciendo, vol. 20(1), pages 81-94, June.
  34. Shulu Che & Ronald Ravinesh Kumar & Peter J. Stauvermann, 2021. "Taxation of Land and Economic Growth," Economies, MDPI, vol. 9(2), pages 1-20, April.
  35. 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.
  36. 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.
  37. Gregor Schwerhoff & Ottmar Edenhofer & Marc Fleurbaey, 2020. "Taxation Of Economic Rents," Journal of Economic Surveys, Wiley Blackwell, vol. 34(2), pages 398-423, April.
  38. 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.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.