How informative are average effects? Hedonic regression and amenity capitalization in complex urban housing markets

By Christian L. Redfearn. 2009

122 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4d44a3a6ecc06dd3cc47b34a631ace592c2010e4

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In Economics and Econometrics

Citations in the corpus

Landscape amenities and local development: a review of migration, regional economic and hedonic pricing studies (2010, background): “The limited consistency of results across hedonic pricing studies parallels the conclusions in reviews on hedonic values of air quality (Chay and Greenstone, 2005) and light-rail access (Redfearn, 2009) and may reflect a diversity of amenity definitions and model specifications (see 5.”
Estimation And Hypothesis Testing For Nonparametric Hedonic House Price Functions (2010, unknown): “Hedonic estimates can be sensitive to the specification, particularly to the specification of locational effects (Redfearn, 2009).”
Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria (2014, background): “…some restrictions: Spatial units have to be defined exogenously, SH is modeled in a discrete fashion where continuous changes across space can be expected, and usually the same definition of spatial units is used for all spatially varying effects (e.g., Redfearn, 2009; McMillen and Redfearn, 2010).”
Urban spatial structure, suburbanization and transportation in Barcelona (2012, methodology): “To compute location variables, I consider the CBD and 7 subcenters 16See McMillen (2001), Redfearn (2009) and McMillen and Redfearn (2010) for details on the LWR procedure.”
How Does Transportation Shape Intrametropolitan Growth? An Answer from the Regional Express Rail (2017, unknown): “…centuries, (4) whether they had a monastery built between the 12th and 16th centuries, and (5) whether they hosted important fairs between the 10th and the 16th centuries:6 5As Redfearn (2009) and McMillen and Redfearn (2010) highlight, it is difficult to choose functional forms in spatial data.”
Renewable Energy and Negative Externalities: The Effect of Wind Turbines on House Prices (2014, background): “On the other hand, it might also be the case that because of search and transaction costs, housing markets may need time to adjust to changes in the physical environment (CaseShiller, 1989; Wheaton, 1990; McMillen and McDonald, 2004; Redfearn, 2009).”