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An Empirical Investigation of Four Market-Derived Adjustment Methods

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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.

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  • 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
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    References listed on IDEAS

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    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.
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    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. Ünsal Özdilek, 2024. "Art-Rent Concept and Measure With Connections to an Evolving Economy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 1625-1649, March.
    8. Copiello Sergio & Cecchinato Filippo & Haj Salih Mohammed, 2021. "The Effect of Hybrid Attributes on Property Prices," Real Estate Management and Valuation, Sciendo, vol. 29(4), pages 36-52, December.

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    JEL classification:

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

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