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An Empirical Investigation of Four Market-Derived Adjustment Methods

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Author Info
Joseph B. Lipscomb () (Texas Christian University PO Box 32868 Fort Worth, Texas 76129)
J. Brian Gray (University of Alabama PO Box 870226 Tuscaloosa, Alabama 35487-0226)
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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File URL: http://aux.zicklin.baruch.cuny.edu/jrer/papers/pdf/past/vol05n01/v05p053.pdf
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Publisher Info
Article provided by American Real Estate Society in its journal Journal of Real Estate Research.

Volume (Year): 5 (1990)
Issue (Month): 1 ()
Pages: 53-66
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:jre:issued:v:5:n:1:1990:p:53-66

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Postal: American Real Estate Society Clemson University School of Business & Behavioral Science Department of Finance 401 Sirrine Hall Clemson, SC 29634-1323
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L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. 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. [Downloadable!]
  2. 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. [Downloadable!] (restricted)
  3. 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. [Downloadable!]
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(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  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. [Downloadable!]
  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. [Downloadable!]
  3. R. Kelley Pace, 1998. "Total Grid Estimation," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 101-114. [Downloadable!]
  4. 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. [Downloadable!]
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