IDEAS home Printed from https://ideas.repec.org/a/jre/issued/v5n11990p1-16.html
   My bibliography  Save this article

How Appraisers Do Their Work: A Test of the Appraisal Process and the Development of a Descriptive Model

Author

Abstract

Actual decisionmaking behavior is rarely the focus of real estate valuation research, but this paper argues the need for just such investigations and reports the results of one study. Two hypotheses concerning the relationship between the appraisal process and the actual behavior of expert appraisers are developed. An experimental test of these hypotheses reveals evidence that the behavior of expert appraisers deviates significantly from the prescribed appraisal process. Based upon the experimental observations, a model of actual expert behavior is built and compared to the prescribed model. Some implications of the observed behavioral divergence are discussed.

Suggested Citation

  • 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.
  • Handle: RePEc:jre:issued:v:5:n:1:1990:p:1-16
    as

    Download full text from publisher

    File URL: http://pages.jh.edu/jrer/papers/pdf/past/vol05n01/v05p001.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Diego Salzman, 2013. "Behavioural Real Estate," ERES eres2013_334, European Real Estate Society (ERES).
    2. Isler, Ozan & Flew, Terry & Erol, Isil & Dulleck, Uwe, 2021. "Market news and credibility cues improve house price predictions: An experiment on bounded rationality in real estate," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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. 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.
    9. Diego A. Salzman & Remco C.J. Zwinkels, 2013. "Behavioural Real Estate," Tinbergen Institute Discussion Papers 13-088/IV/DSF58, Tinbergen Institute.
    10. 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.
    11. James Alm & Robert D. Buschman & David L. Sjoquist, 2013. "How did foreclosures affect property values in Georgia School Districts?," Working Papers 1308, Tulane University, Department of Economics.
    12. William G. Hardin & Xiaoquan Jiang & Zhonghua Wu, 2017. "Inflation Illusion, Expertise and Commercial Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 55(3), pages 345-369, October.
    13. 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.
    14. 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.

    More about this item

    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:jre:issued:v:5:n:1:1990:p:1-16. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: JRER Graduate Assistant/Webmaster (email available below). General contact details of provider: http://www.aresnet.org/ .

    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.