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Applying the Bootstrap Technique to Real Estate Appraisal: An Empirical Analysis

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Author Info
James L. Kuhle () (School of Business California State University, Sacramento Sacramento, California 95819)
Josef D. Moorehead (School of Business California State University, Sacramento Sacramento, California 95819)
Abstract

The purpose of this research is to demonstrate a statistical technique, bootstrapping, and its application in estimating overall capitalization rates in real estate appraisal. This study compares bootstrapped statistics from real estate sample data with the actual sample statistics in order to determine if significant statistical differences are observed. In addition, the issue of how many minimum data points are required for bootstrapping to yield statistically valid proxies is presented.

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File URL: http://aux.zicklin.baruch.cuny.edu/jrer/papers/pdf/past/vol05n01/v05p033.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: 33-40
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:33-40

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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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Postal: Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323
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Find related papers by JEL classification:
L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

Cited by:
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  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!]
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