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Distressed Properties: Valuation Bias and Accuracy

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  • Shuang Zhu
  • R. Pace

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  • Shuang Zhu & R. Pace, 2012. "Distressed Properties: Valuation Bias and Accuracy," The Journal of Real Estate Finance and Economics, Springer, vol. 44(1), pages 153-166, January.
    • Handle: RePEc:kap:jrefec:v:44:y:2012:i:1:p:153-166
    DOI: 10.1007/s11146-010-9290-z
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    References listed on IDEAS

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    1. Nina S N Lam & Kelley Pace & Richard Campanella & James LeSage & Helbert Arenas, 2009. "Business Return in New Orleans: Decision Making Amid Post-Katrina Uncertainty," PLOS ONE, Public Library of Science, vol. 4(8), pages 1-10, August.
    2. Anthony Pennington-Cross, 2006. "The Value of Foreclosed Property," Journal of Real Estate Research, Taylor & Francis Journals, vol. 28(2), pages 193-214, January.
    3. Giuseppe Arbia & Badi H. Baltagi (ed.), 2009. "Spatial Econometrics," Studies in Empirical Economics, Springer, number 978-3-7908-2070-6, December.
    4. Chinloy, Peter & Cho, Man & Megbolugbe, Isaac F, 1997. "Appraisals, Transaction Incentives, and Smoothing," The Journal of Real Estate Finance and Economics, Springer, vol. 14(1-2), pages 89-111, Jan.-Marc.
    5. Abdul‐Rasheed Amidu & Bioye Tajudeen Aluko & J. Andrew Hansz, 2008. "Client Feedback Pressure and the Role of Estate Surveyors and Valuers," Journal of Property Research, Taylor & Francis Journals, vol. 25(2), pages 89-106, January.
    6. Julian Diaz & J. Andrew Hansz, 2001. "The use of reference points in valuation judgment," Journal of Property Research, Taylor & Francis Journals, vol. 18(2), pages 141-148, January.
    7. Richard A. Graff & Michael S. Young, 1999. "The Magnitude of Random Appraisal Error in Commercial Real Estate Valuation," Journal of Real Estate Research, American Real Estate Society, vol. 17(1), pages 33-54.
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    Citations

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    Cited by:

    1. Hamilton Fout & Nuno Mota & Eric Rosenblatt, 2022. "When Appraisers Go Low, Contracts Go Lower: The Impact of Expert Opinions on Transaction Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 65(3), pages 451-491, October.
    2. Kokot Sebastian & Gnat Sebastian, 2019. "Identification and Classification of Real Estate Features for the Purpose of an Algorithm-Based Valuation– Case Study within Szczecin," Folia Oeconomica Stetinensia, Sciendo, vol. 19(2), pages 38-55, December.
    3. Alexander N. Bogin & Jessica Shui, 2018. "Appraisal Accuracy, Automated Valuation Models, And Credit Modeling in Rural Areas," FHFA Staff Working Papers 18-03, Federal Housing Finance Agency.
    4. Hozer Józef & Gnat Sebastian & Kokot Sebastian & Kuźmiński Wojciech, 2019. "The Problem of Designating Elementary Terrains for the Purpose of Szczecin Algorithm of Real Estate Mass Appraisal," Real Estate Management and Valuation, Sciendo, vol. 27(3), pages 42-58, September.
    5. Shi, Lan & Zhang, Yan, 2015. "Appraisal inflation: Evidence from the 2009 GSE HVCC intervention," Journal of Housing Economics, Elsevier, vol. 27(C), pages 71-90.
    6. Irene Cheloti & Manya Mooya, 2021. "Valuation Problems in Developing Countries: A New Perspective," Land, MDPI, vol. 10(12), pages 1-20, December.
    7. Jian Chen & Jin Xiang & Tyler T. Yang, 2018. "Re-Default Risk of Modified Mortgages," International Real Estate Review, Global Social Science Institute, vol. 21(1), pages 1-40.
    8. M. Lundholm, 2021. "Compensation and Socio-Economic Status of Borrowers in Foreclosure: Evidence from Swedish Micro-data," Journal of Consumer Policy, Springer, vol. 44(1), pages 95-116, March.

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