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Designing and implementing a real estate appraisal system: The case of Québec Province, Canada

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  • Kettani, Ossama
  • Oral, Muhittin

Abstract

Real estate appraisal is of great importance to several socio-economic stakeholders for different reasons and justifications: local governments and municipalities for taxation purposes; banks for mortgage and other credit applications processing; property valuation companies for marketing activities; and property developers and investors for sound investment decision-making. This paper summarizes the real estate appraisal system that has been developed for and with CUQ (Coomunaité urbaine de Québec), CUM (Communaité urbaine de Montréal), and Communaité urbaine de Gatineau (CUG) and implemented over the last twenty years in the Province of Québec. The salient features of the property appraisal system are: (1) property-specific individual appraisal using a new regression method called “analogical regression”, (2) mass-appraisal based on property-specific individual appraisals, and (3) the size of real estate coverage (over 1,050,000 properties) and the variety of real estate profiles considered (shopping centers, office buildings, residential properties, farms, industrial units, etc.).

Suggested Citation

  • Kettani, Ossama & Oral, Muhittin, 2015. "Designing and implementing a real estate appraisal system: The case of Québec Province, Canada," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 1-9.
    • Handle: RePEc:eee:soceps:v:49:y:2015:i:c:p:1-9
    DOI: 10.1016/j.seps.2014.12.003
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Cankun Wei & Meichen Fu & Li Wang & Hanbing Yang & Feng Tang & Yuqing Xiong, 2022. "The Research Development of Hedonic Price Model-Based Real Estate Appraisal in the Era of Big Data," Land, MDPI, vol. 11(3), pages 1-30, February.
    3. Chica-Olmo, Jorge & Cano-Guervos, Rafael, 2020. "Does my house have a premium or discount in relation to my neighbors? A regression-kriging approach," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    4. 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.
    5. Patrick Krieger & Carsten Lausberg, 2021. "Entscheidungen, Entscheidungsfindung und Entscheidungsunterstützung in der Immobilienwirtschaft: Eine systematische Literaturübersicht [Decisions, decision-making and decisions support systems in r," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 7(1), pages 1-33, April.
    6. Stanislav Endel & Marek Teichmann & Dagmar Kutá, 2020. "Possibilities of House Valuation Automation in the Czech Republic," Sustainability, MDPI, vol. 12(18), pages 1-13, September.

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