2017
DOI: 10.1007/s11146-017-9621-4
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Pricing Extreme Attributes in Commercial Real Estate: the Case of Hotel Transactions

Abstract: We show that conventional hedonic models for commercial real estate prices ignore the utility investors derive from a building's extreme attributes. Analyzing geo-enriched data on nearly 4,800 hotel transactions in the United States, we find that the relative positioning of an asset's attributes-particularly at the extremes-has a significant impact on transaction prices. We also detect separating equilibria for extreme attributes across the premium and discount hotel segments. Extreme attributes "stand out" an… Show more

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Cited by 12 publications
(16 citation statements)
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References 60 publications
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“…In addition, taller hotels (with more floors) are significantly more inclined to upscale and significantly less prone to downscale. Taller hotels enjoy superior recognition (Das et al, 2017), which may facilitate their upscaling. Interstate, small metro, suburban hotels, and resorts are significantly less likely to upscale than airport hotels.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, taller hotels (with more floors) are significantly more inclined to upscale and significantly less prone to downscale. Taller hotels enjoy superior recognition (Das et al, 2017), which may facilitate their upscaling. Interstate, small metro, suburban hotels, and resorts are significantly less likely to upscale than airport hotels.…”
Section: Resultsmentioning
confidence: 99%
“… 6. See Brady and Conlin (2004); Corgel et al (2015); Das et al (2017); Robinson et al (2016); Robinson and Singh (2019); Tsai et al (2015). …”
mentioning
confidence: 99%
“…A study of the impact of externalities on the sales prices of condos in California showed that, without prohibitive pricing, externalities and the disposition of other variables must be taken into account in estimating property value (Chan et al, 1998). Such is the case of Das et al (2018), who demonstrated that real estate located in suburban neighborhoods created positive externalities in the price of premium segment assets.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Among the variables used to help explain the sale price of a house, the following stand out: square meters (m 2 ) of living area and indoor construction, number of rooms and bathrooms, age of the property, size of the lot, number and area of parking spaces, and the location and availability of a swimming pool (Chan et al, 1998;Monson, 2009). Real estate valuation is often more difficult than other assets because they are not homogeneous, and traditional hedonic pricing models may be susceptible to bias by ignoring attribute externalities (Chan et al, 1998;Das et al, 2018). For this reason, the quantity and quality of the data collected is fundamental in determining the valuation model and establishing significant differences between real estate properties.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Black (1986) and Shefrin and Stateman (1994) introduce two types of investors, the information trader acting only on perfect information and the noise trader acting partly on imperfect information . In markets with significant limits-to-arbitrage such as the real estate market, it is assumed that noise trading can create persistent arbitrage opportunities ( Ling et al, 2014 ;Das et al, 2017 ) by influencing asset returns and volatility. 1 To quantify this noise trading risk, various sentiment measures were introduced to directly or indirectly capture the irrational component of investors.…”
Section: Household and Investor Sentiment In Asset Marketsmentioning
confidence: 99%