IDEAS home Printed from https://ideas.repec.org/a/ire/issued/v23n042020p483-504.html
   My bibliography  Save this article

An Analysis of Objectivity in the Real Estate Appraisal Process

Author

Listed:
  • Mei-Hsing Lee

    (National Taipei University)

  • Chien-Wen Peng

    (National Taipei University)

  • Hsueh-Fei Liao

    (National Taipei University)

Abstract

Most existing studies on the behavior of real estate appraisers focus on the issues around the independence of the appraiser. This study uses a questionnaire to measure the objectivity of real estate appraisers which involves six indicators related to the appraisal process, and divides the factors that affect the objectivity of real estate appraisers in Taiwan into four categories, namely, the opinion of the appraiser regarding the future development of the real estate appraisal industry, current real estate appraisal approaches and behavior of other appraisers, and the characteristics of real estate appraisers and their firms. The empirical results reveal that the income of appraisers relative to other professionals and public opinion in relation to the fairness of real estate appraisers are the two most important factors that affect the objectivity of real estate appraisers. Furthermore, the work experience of the appraiser, total revenue of the real estate appraisal firm, and independence of the final appraisal result all significantly and positively affect the objectivity of the real estate appraisers, and the awareness of a lack of appraisers in the market significantly and negatively affects their objectivity. These findings are helpful to the healthy development of real estate appraisal and its related industries.

Suggested Citation

  • Mei-Hsing Lee & Chien-Wen Peng & Hsueh-Fei Liao, 2020. "An Analysis of Objectivity in the Real Estate Appraisal Process," International Real Estate Review, Global Social Science Institute, vol. 23(4), pages 483-504.
    • Handle: RePEc:ire:issued:v:23:n:04:2020:p:483-504
    as

    Download full text from publisher

    File URL: https://www.gssinst.org/irer/wp-content/uploads/2021/08/v23-no4-3_An-Analysis-of-Objectivity-in-the-Real-Estate-Appraisal-Process.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tsong‐Yue Lai & Ko Wang, 1996. "Comparing the Accuracy of the Minimum‐Variance Grid Method to Multiple Regression in Appraised Value Estimates," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 24(4), pages 531-549, December.
    2. Donald R. Epley, 1997. "A Note on the Optimal Selection and Weighting of Comparable Properties," Journal of Real Estate Research, American Real Estate Society, vol. 14(2), pages 175-182.
    3. Julian Diaz III, 1990. "How Appraisers Do Their Work: A Test of the Appraisal Process and the Development of a Descriptive Model," Journal of Real Estate Research, American Real Estate Society, vol. 5(1), pages 1-16.
    4. Paul Gallimore & Marvin Wolverton, 2000. "The objective in valuation: a study of the influence of client feedback," Journal of Property Research, Taylor & Francis Journals, vol. 17(1), pages 47-57, January.
    5. Kerry D. Vandell, 1991. "Optimal Comparable Selection and Weighting in Real Property Valuation," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 19(2), pages 213-239, June.
    6. Hsueh-Fei Liao & Nan-Yu Chu & Chien-Wen Peng, 2018. "Awareness of Independence of Real Estate Appraisers: An Empirical Analysis," International Real Estate Review, Global Social Science Institute, vol. 21(3), pages 295-316.
    7. Fong Yao Chen & Shi Ming Yu, 2009. "Client influence on valuation: does language matter?," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 27(1), pages 25-41, February.
    8. Marvin L. Wolverton & Paul Gallimore, 1999. "Client Feedback and the Role of the Appraiser," Journal of Real Estate Research, American Real Estate Society, vol. 18(3), pages 415-432.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Agnieszka Małkowska & Małgorzata Uhruska & Mateusz Tomal, 2019. "Age and Experience versus Susceptibility to Client Pressure among Property Valuation Professionals—Implications for Rethinking Institutional Framework," Sustainability, MDPI, vol. 11(23), pages 1-23, November.
    2. Hsueh-Fei Liao & Nan-Yu Chu & Chien-Wen Peng, 2018. "Awareness of Independence of Real Estate Appraisers: An Empirical Analysis," International Real Estate Review, Global Social Science Institute, vol. 21(3), pages 295-316.
    3. Irene Cheloti & Manya Mooya, 2021. "Valuation Problems in Developing Countries: A New Perspective," Land, MDPI, vol. 10(12), pages 1-20, December.
    4. Diego Salzman, 2013. "Behavioural Real Estate," ERES eres2013_334, European Real Estate Society (ERES).
    5. Diego A. Salzman & Remco C.J. Zwinkels, 2013. "Behavioural Real Estate," Tinbergen Institute Discussion Papers 13-088/IV/DSF58, Tinbergen Institute.
    6. Ünsal Özdilek, 2020. "Land and building separation based on Shapley values," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-13, December.
    7. Alm, James & Buschman, Robert D. & Sjoquist, David L., 2011. "Rethinking local government reliance on the property tax," Regional Science and Urban Economics, Elsevier, vol. 41(4), pages 320-331, July.
    8. George H. Lentz & Ko Wang, 1998. "Residential Appraisal and the Lending Process: A Survey of Issues," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 11-40.
    9. Alm, James & Buschman, Robert D. & Sjoquist, David L., 2014. "Foreclosures and local government revenues from the property tax: The case of Georgia school districts," Regional Science and Urban Economics, Elsevier, vol. 46(C), pages 1-11.
    10. Alm, James & Leguizamon, J. Sebastian, 2018. "The housing crisis, foreclosures, and local tax revenues," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 300-311.
    11. 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.
    12. Eriksen, Michael D. & Fout, Hamilton B. & Palim, Mark & Rosenblatt, Eric, 2019. "The influence of contract prices and relationships on appraisal bias," Journal of Urban Economics, Elsevier, vol. 111(C), pages 132-143.
    13. Antonio Nesticò & Marianna La Marca, 2020. "Urban Real Estate Values and Ecosystem Disservices: An Estimate Model Based on Regression Analysis," Sustainability, MDPI, vol. 12(16), pages 1-15, August.
    14. Zabel, Jeffrey, 2022. "A matching method for land valuation," Journal of Housing Economics, Elsevier, vol. 58(PA).
    15. Konowalczuk Jan, 2017. "The Problem of Reflecting the Market in the Legal Principles of Real Estate Valuation in Poland. How to Eliminate the “Legal Footprint”?," Real Estate Management and Valuation, Sciendo, vol. 25(2), pages 44-57, June.
    16. Christian Weistroffer & Steffen Sebastian, 2015. "The German Open-End Fund Crisis – A Valuation Problem?," The Journal of Real Estate Finance and Economics, Springer, vol. 50(4), pages 517-548, May.
    17. Neil Crosby & Steven Devaney & Colin Lizieri & Patrick McAllister, 2018. "Can Institutional Investors Bias Real Estate Portfolio Appraisals? Evidence from the Market Downturn," Journal of Business Ethics, Springer, vol. 147(3), pages 651-667, February.
    18. Walsh, Patrick & Griffiths, Charles & Guignet, Dennis & Klemick, Heather, 2017. "Modeling the Property Price Impact of Water Quality in 14 Chesapeake Bay Counties," Ecological Economics, Elsevier, vol. 135(C), pages 103-113.
    19. Sam K. Hui & Alvin Cheung & Jimmy Pang, 2010. "A Hierarchical Bayesian Approach for Residential Property Valuation:Application to Hong Kong Housing Market," International Real Estate Review, Global Social Science Institute, vol. 13(1), pages 1-29.
    20. Agnieszka Ma³kowska & Ma³gorzata Uhruska, 2022. "Factors affecting SMEs growth: the case of the real estate valuation service industry," Oeconomia Copernicana, Institute of Economic Research, vol. 13(1), pages 79-108, March.

    More about this item

    Keywords

    Real Estate Appraisal; Behavior of Appraisers; Objectivity; Independence;
    All these keywords.

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ire:issued:v:23:n:04:2020:p:483-504. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: IRER Graduate Assistant/Webmaster (email available below). General contact details of provider: https://www.gssinst.org/gssinst/index.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.