Do Housing Submarkets Really Matter

By Steven C. Bourassa, Martin Hoesli, Vincent S. Peng. 2003

393 citations recorded by the source corpus.

Subfields: Accounting, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/00ee4758a40a5c70dabfeffb7b541ebaf296e48a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Accounting

1. Eva Cantoni
2. Steven C. Bourassa
3. Martin Hoesli
4. Allen C. Goodman

In Economics and Econometrics

1. Eva Cantoni
2. Steven C. Bourassa
3. Martin Hoesli
4. T. Thibodeau
5. Allen C. Goodman

Citations in the corpus

• Predicting House Prices with Spatial Dependence: A Comparison of Alternative Methods (2010, methodology): “Previous empirical comparisons of the ex-sample prediction accuracy of different methods include Bourassa, Hoesli, and Peng (2003), who compare a set of spatial submarkets defined by real estate appraisers with a set of aspatial submarkets created using factor and cluster analysis.”
• The Spatial Proximity of Metropolitan Area Housing Submarkets (2007, background): “Bourassa, Hoesli and Peng (2003) examine two submarket constructions: (1) geographically concentrated “sales areas” used by local real estate appraisers in New Zealand and (2) an aspatial submarket construction obtained by applying cluster analysis to the most influential factors generated from prop”
• What's in a View? (2004, neutral): “These reasons explain the discrepancy between the results we report here and those in an earlier paper (Bourassa et al, 2003), for example, in which an average impact of views in Auckland of approximately 8% was reported.”