The Measurement of Neighborhood Dynamics in Urban House Prices

Dados Bibliográficos

ID4043508
AutoresAyse Can (0000-0003-2073-5410, Syracuse University, autor correspondente)
Ano1990
Volume66
Fascículo3
Páginas254
Data de publicação1990-07-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoEconomic Geography (JOURNAL)
Identificadores do periódicoISSN: 0013-0095 • E-ISSN: 1944-8287
EditoraJSTOR (PUBLISHER)
DOI10.2307/143400
OpenAlexW2328689554
IdiomaEN
Citações recebidas58
Referências citadas24

This paper introduces an explicit geographic perspective for modeling the housing price determination process. The traditional econometric models that utilize the hedonic price regression are accepted but are extended to incorporate spatial neighborhood dynamics. The expansion method is used as the general modeling framework. The question posed by this research is: Do housing attributes produce different pricing differentials depending on location? Consequently, the models that are generated are characterized by spatial variation with respect to the influence of housing attributes on housing prices. In addition to its conceptual concern, this paper also deals with spatial dependence, an issue that has not been addressed in the previous empirical investigations. The empirical segment of this research uses data for the Columbus, Ohio MSA. The results suggest that the models constructed using the expansion method more accurately mirror the workings of the residential real estate markets

Dynamics (music) · Econometrics · Economic geography · Economics · Geography · House price · Sociology · Housing Market and Economics · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis