The Dynamics of Location in Home Price
By Alan E. Gelfand, M. Ecker, John R. Knight, C. Sirmans. 2004
152 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/c74061267a3275a2eccb19a24c0ed9602800a0b6
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In Economics and Econometrics
Citations in the corpus
- A Comparison of Three Methods of Estimation in the Context of Spatial Modeling (2009, methodology): “The use of Hierarchical Bayesian models is comparably rare when analyzing spatial problems in economics, except for some studies in areas like valuation and property market analysis (e.g. Clapp, Kim, and Gelfand, 2002; Gelfand et al., 2004).”
- A simple alternative house price index method (2006, unknown): “Recent work on hedonic price indexes has also focused on the impact of spatial effects on hedonic indexes (Gelfand et al., 2004).”
- A Spatial Autocorrelation Approach for Examining the Effects of Urban Greenspace on Residential Property Values (2010, background): “Corresponding to the considerable growth of spatial econometrics from mid 1990s, spatial regressions have increasingly appeared in the real estate literature (Basu and Thibodeau 1998; Can 1990, 1992; Gelfand et al. 2004; Pace et al. 1998; Pace and Gilley 1997) and the environmental economics literat”
- Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices (2010, methodology): “In Gelfand et al. (2004), a rich class of temporal hedonic models using a Bayesian framework is formulated by extending the different processes of the error term.”
- The Spatial Extent of Water Quality Benefits in Urban Housing Markets (2011, result): “…models estimated to test and correct for spatial dependence in the errors.3 The findings are mixed, with some studies reporting improvements in fit (Gelfand et al. 2004; Case et al. 2004) and others reporting results that are robust to the error specification (Leggett and Bockstael 2000; Kim,…”