IDEAS home Printed from https://ideas.repec.org/a/jre/issued/v5n11990p53-66.html
   My bibliography  Save this article

An Empirical Investigation of Four Market-Derived Adjustment Methods

Author

Abstract

This study uses published data on 422 market sales of FHA/VA insured/guaranteed houses to examine and compare four methods of estimating market-derived adjustment values to be employed in the sales comparison appraisal approach. These four adjustment methods are variations and combinations of matched pair and multiple regression analysis. Two major conclusions drawn from the results are: (1) regression on matched pair data set is equivalent to matched pair analysis using regression coefficients as secondary adjustments and produces the same primary adjustment estimate for the feature of interest, and (2) even under relatively ideal circumstances, market-derived adjustments contain a high degree of uncertainty.

Suggested Citation

  • Joseph B. Lipscomb & J. Brian Gray, 1990. "An Empirical Investigation of Four Market-Derived Adjustment Methods," Journal of Real Estate Research, American Real Estate Society, vol. 5(1), pages 53-66.
  • Handle: RePEc:jre:issued:v:5:n:1:1990:p:53-66
    as

    Download full text from publisher

    File URL: http://pages.jh.edu/jrer/papers/pdf/past/vol05n01/v05p053.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mark J. Kroll & Charles A. Smith, 1988. "The Buyer's Response Technique - A Framework for Improving Comparable Selection and Adjustment in Single-Family Appraising," Journal of Real Estate Research, American Real Estate Society, vol. 3(1), pages 27-35.
    2. Timothy P. Cronan & Donald R. Epley & Larry G. Perry, 1986. "The Use of Rank Transformation and Multiple Regression Analysis in Estimating Residential Property Values With A Small Sample," Journal of Real Estate Research, American Real Estate Society, vol. 1(1), pages 19-31.
    3. Peter F. Colwell & Roger E. Cannaday & Chunchi Wu, 1983. "The Analytical Foundations of Adjustment Grid Methods," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 11(1), pages 11-29, March.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Brent W. Ambrose, 1990. "An Analysis of the Factors Affecting Light Industrial Property Valuation," Journal of Real Estate Research, American Real Estate Society, vol. 5(3), pages 355-370.
    2. Joseph B. Lipscomb & J. Brian Gray, 1995. "A Connection between Paired Data Analysis and Regression Analysis for Estimating Sales Adjustments," Journal of Real Estate Research, American Real Estate Society, vol. 10(2), pages 175-184.
    3. James A. Bryant & Donald R. Epley, 1998. "Cancerphobia: Electromagnetic Fields and Their Impact on Residential Loan Values," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 115-129.
    4. R. Kelley Pace, 1998. "Total Grid Estimation," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 101-114.
    5. 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.
    6. Ünsal Özdilek, 2019. "Scientific basis of value and valuation," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(3), pages 266-277, June.
    7. Copiello Sergio & Cecchinato Filippo & Salih Mohammed Haj, 2021. "The Effect of Hybrid Attributes on Property Prices," Real Estate Management and Valuation, Sciendo, vol. 29(4), pages 36-52, December.

    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. 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.
    2. Joseph B. Lipscomb & J. Brian Gray, 1995. "A Connection between Paired Data Analysis and Regression Analysis for Estimating Sales Adjustments," Journal of Real Estate Research, American Real Estate Society, vol. 10(2), pages 175-184.
    3. Narula, Subhash C. & Wellington, John F. & Lewis, Stephen A., 2012. "Valuating residential real estate using parametric programming," European Journal of Operational Research, Elsevier, vol. 217(1), pages 120-128.
    4. Maurizio d’Amato, 2007. "Comparing Rough Set Theory with Multiple Regression Analysis as Automated Valuation Methodologies," International Real Estate Review, Global Social Science Institute, vol. 10(2), pages 42-65.
    5. Mark J. Kroll & Charles A. Smith, 1988. "The Buyer's Response Technique - A Framework for Improving Comparable Selection and Adjustment in Single-Family Appraising," Journal of Real Estate Research, American Real Estate Society, vol. 3(1), pages 27-35.
    6. Serena Artese & Manuela De Ruggiero & Francesca Salvo & Raffaele Zinno, 2021. "Economic Convenience Judgments among Seismic Risk Mitigation Measures and Regulatory and Fiscal Provisions: The Italian Case," Sustainability, MDPI, vol. 13(6), pages 1-25, March.
    7. Agusman, Agusman & Monroe, Gary S. & Gasbarro, Dominic & Zumwalt, J.K., 2008. "Accounting and capital market measures of risk: Evidence from Asian banks during 1998-2003," Journal of Banking & Finance, Elsevier, vol. 32(4), pages 480-488, April.
    8. Oana CHINDRIŞ-VĂSIOIU, 2014. "Economic Agent Behavior On Real Estate Market," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 3(1), pages 1-8, January.
    9. Sonia Yousfi & Jean Dubé & Diègo Legros & Sotirios Thanos, 2020. "Mass appraisal without statistical estimation: a simplified comparable sales approach based on a spatiotemporal matrix," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 349-365, April.
    10. G. Donald Jud & John D. Benjamin & G. Stacy Sirmans, 1996. "What Do We Know about Apartments and Their Markets?," Journal of Real Estate Research, American Real Estate Society, vol. 11(3), pages 243-258.
    11. Rohana Abdul Rahman, 2011. "Variations in Implementing SCM to Minimize Subjectivity and a Future Direction for Malaysia," ERES eres2011_178, European Real Estate Society (ERES).
    12. Jean Dubé & Maha AbdelHalim & Nicolas Devaux, 2021. "Evaluating the Impact of Floods on Housing Price Using a Spatial Matching Difference-In-Differences (SM-DID) Approach," Sustainability, MDPI, vol. 13(2), pages 1, January.
    13. Benedetto Manganelli & Pierluigi Morano & Francesco Tajani & Francesca Salvo, 2019. "Affordability Assessment of Energy-Efficient Building Construction in Italy," Sustainability, MDPI, vol. 11(1), pages 1-17, January.
    14. 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.
    15. James A. Bryant & Donald R. Epley, 1998. "Cancerphobia: Electromagnetic Fields and Their Impact on Residential Loan Values," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 115-129.
    16. R. Kelley Pace, 1998. "Total Grid Estimation," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 101-114.
    17. Martin Cupal, 2017. "Sales Comparison Approach Indicating Heterogeneity of Particular Type of Real Estate and Corresponding Valuation Accuracy," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(3), pages 977-985.
    18. Timothy P. Cronan & Donald R. Epley & Larry G. Perry, 1986. "The Use of Rank Transformation and Multiple Regression Analysis in Estimating Residential Property Values With A Small Sample," Journal of Real Estate Research, American Real Estate Society, vol. 1(1), pages 19-31.
    19. Han Bin Kang & Alan K. Reichert, 1987. "An Evaluation of Alternative Estimation Techniques and Functional Forms in Developing Statistical Appraisal Models," Journal of Real Estate Research, American Real Estate Society, vol. 2(1), pages 1-29.
    20. Copiello Sergio & Cecchinato Filippo & Salih Mohammed Haj, 2021. "The Effect of Hybrid Attributes on Property Prices," Real Estate Management and Valuation, Sciendo, vol. 29(4), pages 36-52, December.

    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:53-66. 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: 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.