2022
DOI: 10.1111/1540-6229.12418
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Distressed comps

Abstract: We consider the use and impact of distressed properties as comparables in residential appraisals. First, we describe the incidence of their use and their relative comparability; second, we estimate their impact on the appraisal value itself; and third, we consider their impact on the probability that the appraisal is below the proposed transaction price. We find, generally, that distressed comps are largely good matches to their subject properties, which suggests that they are not necessarily used as a last re… Show more

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Cited by 2 publications
(2 citation statements)
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“…Recent work has tried to move in the direction of estimating the causal impact of foreclosures. Conklin, Coulson, and Diop (2023), for example, argue that the large discounts reported in other studies are likely due to omitted variable bias in the (mostly) hedonic estimates. Using a novel approach and a comprehensive data set for the entire United States, they find only a small -and thus economically negligible -foreclosure discount of 5%.…”
Section: Introductionmentioning
confidence: 97%
See 1 more Smart Citation
“…Recent work has tried to move in the direction of estimating the causal impact of foreclosures. Conklin, Coulson, and Diop (2023), for example, argue that the large discounts reported in other studies are likely due to omitted variable bias in the (mostly) hedonic estimates. Using a novel approach and a comprehensive data set for the entire United States, they find only a small -and thus economically negligible -foreclosure discount of 5%.…”
Section: Introductionmentioning
confidence: 97%
“…Using a comprehensive and verified administrative data set that covers four decades of housing transactions in Berlin, we estimate the foreclosure discounts in the urban context of a global city. This relates to both the traditional literature that uses hedonic frameworks to estimate foreclosure discounts (e.g., Shilling, Benjamin, and Sirmans 1990;Forgey, Rutherford, and VanBuskirk 1994;Hardin and Wolverton 1996;Springer 1996;Carroll, Clauretie, and Neill 1997) and the more recent papers that apply other methods or more representative data sets (e.g., Clauretie and Daneshvary 2009;Campbell, Giglio, and Pathak 2011;Donner, Song, and Wilhelmsson 2016;Donner 2017;Biswas, Fout, and Pennington-Cross 2023;Conklin, Coulson, and Diop 2023).…”
Section: Introductionmentioning
confidence: 99%