USING A SPATIAL ENDOGENOUS METHOD TO DETECT HOUSING SUBMARKETS: AN APPLICATION TO TUCSON

Home Page
About
Submit A Journal
Submit A Conference
Submit Paper/Book
- Submit a Preprint
- Submit a Book
Contact

Akademik Araştırmalar ve Çalışmalar Dergisi (AKAD)
Volume:2 Issue:3
USING A SPATIAL ENDOGENOUS METHOD TO DETECT HOUSING SUBMARKETS: AN APPLICATION TO TUCSON

USING A SPATIAL ENDOGENOUS METHOD TO DETECT HOUSING SUBMARKETS: AN APPLICATION TO TUCSON

Authors : Sandy DALL'ERBA, Chris BITTER

Pages : 1-15

Doi:10.20990/aacd.14548

View : 77 | Download : 16

Publication Date : 2014-12-27

Article Type : Other Papers

Abstract :While tools modelling spatial autocorrelation have been unanimously adopted in the housing prices literature, there is still no consensus on the appropriate methodology to identify submarkets, i.e. on how to count for spatial heterogeneity. In this paper we propose an innovative methodology that endogenously detects submarkets while counting for spatial autocorrelation across housing prices. The advantage of an endogenous detection is to avoid arbitrariness in the sense that submarkets are defined by the variables of our model only. We apply our methodology to Tucson’s housing market for which our results provide a strong evidence of spatial heterogeneity.
Keywords : Hedonic model, Heterogeneity, Spatial econometrics

ORIGINAL ARTICLE URL

* There may have been changes in the journal, article,conference, book, preprint etc. informations. Therefore, it would be appropriate to follow the information on the official page of the source. The information here is shared for informational purposes. IAD is not responsible for incorrect or missing information.