1992
DOI: 10.2307/3146772
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Uncertainty, Information, and Hedonic Pricing

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Cited by 77 publications
(35 citation statements)
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“…A high quality ocean view could raise the price of an otherwise comparable home by almost 60% in single-family residential real estate market of Bellingham, Washington (Benson et al, 1998). A study conducted in Auckland, New Zealand, indicated that people would pay 18.5% more for sea view (Kask and Maani, 1992). However, a case study of residential housing in Haifa, Israel, found that sea views did not significantly raise housing price (Portnov et al, 2005).…”
Section: Effects Of Scenic Viewsmentioning
confidence: 92%
“…A high quality ocean view could raise the price of an otherwise comparable home by almost 60% in single-family residential real estate market of Bellingham, Washington (Benson et al, 1998). A study conducted in Auckland, New Zealand, indicated that people would pay 18.5% more for sea view (Kask and Maani, 1992). However, a case study of residential housing in Haifa, Israel, found that sea views did not significantly raise housing price (Portnov et al, 2005).…”
Section: Effects Of Scenic Viewsmentioning
confidence: 92%
“…However to estimate WTP requires data from multiple, disJinct markets, and information on individual purchasers of the land (Palmquist 1998), Many multiple regression studies of house prices that use a large number of variables have estimated WTP and hence the demand curve associated with environmental variables (e.g. Colwell 1991;Kask and Maani 1992;White 1996' Grudnitski andDo 1997;Dombrow et ai, 2000). However, the idenJification or distinct markets and information on individual purchasers will be difficult to identify and collect in the case of national parks, This study is confined to the first stage of analysis, estimation of how much of the unimproved land values associated with single-dwelling houses in Noosa around NNP are due to NNP.…”
Section: Application Of the Hedonic Price Methods Usingmentioning
confidence: 99%
“…The existence of information bias may cause a problem when estimating hedonic prices (Kask & Maani, 1992). If information is limited between seller and buyer, one may estimate a biased implicit price.…”
Section: Criticisms Of the Hedonic Price Modelmentioning
confidence: 99%