Exploring Spatial Effects on Urban Housing Duration

Tae-Kyung Kim and Mark W Horner
Additional contact information
Tae-Kyung Kim: Department of City and Regional Planning, Austin E. Knowlton School of Architecture, the Ohio State University, 190 W 17th Avenue, Columbus, OH 43210, USA
Mark W Horner: Department of Geography, Southwest Texas State University, 601 University Drive, Evans Liberal Arts Building #139, San Marcos, TX 78666-4616, USA

Environment and Planning A, 2003, vol. 35, issue 8, 1415-1429

Abstract: The decision to buy or sell a dwelling is complex. As such, researchers have considered models of housing price, location choice, and other dimensions of the problem. However, one potentially overlooked aspect of the decision to buy or sell a home concerns the spatial characteristics associated with the property itself. To this end, the authors utilize the Cox proportional hazards approach to model housing duration as a function of spatial and property-specific variables. They incorporate exogenous spatial variables into their model by using GIS-based spatial modeling. They find that spatial factors, such as commuting time zones, as well as aspatial characteristics, such as equity constraints, are important for explaining housing turnover. Moreover, the applicability of the Cox proportional hazard model to the spatial analysis of housing duration is demonstrated.

Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1068/a35170 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:envira:v:35:y:2003:i:8:p:1415-1429

DOI: 10.1068/a35170

Access Statistics for this article

More articles in Environment and Planning A
Bibliographic data for series maintained by SAGE Publications ().