2017
DOI: 10.1080/10835547.2017.12090454
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Loss Aversion and Housing Studies

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Cited by 11 publications
(3 citation statements)
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References 59 publications
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“…For example, loss aversion can cause a more significant decline in housing satisfaction in response to housing wealth changes among worse-off households , lead developers to postpone the land development process after prior losses in the land acquisition stage , and reduce the probability of moving for homeowners who experienced nominal losses of their home values . The size of loss aversion is in line with behavioural studies in other areas (see the summary in Bao & Meng, 2017). Specifically, the response to changes in housing consumption in the loss domain is about twice that in the gain domain, or the loss aversion parameter in prospect theory's value function is around two.…”
Section: Reference Point Dependence and Loss Aversionsupporting
confidence: 80%
“…For example, loss aversion can cause a more significant decline in housing satisfaction in response to housing wealth changes among worse-off households , lead developers to postpone the land development process after prior losses in the land acquisition stage , and reduce the probability of moving for homeowners who experienced nominal losses of their home values . The size of loss aversion is in line with behavioural studies in other areas (see the summary in Bao & Meng, 2017). Specifically, the response to changes in housing consumption in the loss domain is about twice that in the gain domain, or the loss aversion parameter in prospect theory's value function is around two.…”
Section: Reference Point Dependence and Loss Aversionsupporting
confidence: 80%
“…Another stream covers funding and operational management issues. Researchers explore policies for accountability and public-private financing [24] and measures initiated by state agencies to make housing more accessible to older adults [25,26].…”
Section: Literature Reviewmentioning
confidence: 99%
“…This issue’s shift brings to fore the potential biases of the city stakeholders, decision makers and brokers. Urban participants may tend to rely on judgmental heuristics, leading to framing (Arbel et al ., 2014) or anchoring effects (Bao and Meng, 2017), such as the overly well-known “location, location, location” moto to estimate buildings’ global quality. For instance, it has been shown that the availability bias tends to reinforce investments in places where information is readily available (Adair et al ., 1994).…”
Section: Literature Reviewmentioning
confidence: 99%