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Paper: eres2014_178
Paper title: A Structural Model of Loss Aversion in the Housing Market
Authors: Fesselmeyer, Eric C.; Le Kien T., Seah Kiat Ying
Summary: This study estimates a structural version of the Genesove and Mayer (2001)loss aversion model. Our model di ers in several ways: instead of using ahedonic regression to estimate the current expected selling price of a home, weuse MSA-speci c housing indices and include a property-speci c structuralerror term that depends on the time from the date of purchase. We estimatethe model by simulated maximum likelihood using data from the AmericanHousing Survey (AHS). The AHS is an ideal dataset for studying loss aversionas it is large, and the homes surveyed span over several boom and bustperiods. We nd strong support for loss aversion behavior. On average,homeowners over-value their homes 21% for a 10% increase in losses.
Type:
Year of publication: 2014
Series: ERES:conference
Download paper: http://library.eres.org/cgi-bin/rsa98.pl?conf=ERES2014&type=session&theme=D &slot=2650
Citation: Fesselmeyer, Eric C.; Le Kien T., Seah Kiat Ying (2014). A Structural Model of Loss Aversion in the Housing Market. 21st Annual European Real Estate Society Conference in Bucharest, Romania, http://itc.scix.net/paper/eres2014_178
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