Endogenous Spatial Regression and Delineation of Submarkets: A New Framework with Application to Housing Markets

Arnab Bhattacharjee, Eduardo Castro, Taps Maiti, João Marques

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)
27 Downloads (Pure)

Abstract

Housing submarkets have been defined by different criteria: (i) similarity in house attributes; (ii) similarity in hedonic prices; and (iii) substitutability of houses. We show that spatial clustering on (i) and (ii) also satisfies criterion (iii) and develop inferences based on functional linear regression of a hedonic house price model. Then, we delineate submarkets by clustering (jointly) on the surfaces of the estimated functional partial effects and housing features. The above model incorporates both spatial heterogeneity and endogenous spatial dependence. Application to an urban conglomeration in Portugal implies submarkets that emphasize the historical and endogenous evolution of urban spatial structure.

Original languageEnglish
Pages (from-to)32-57
Number of pages16
JournalJournal of Applied Econometrics
Volume31
Issue number1
Early online date29 Jul 2015
DOIs
Publication statusPublished - Jan 2016

ASJC Scopus subject areas

  • Economics and Econometrics
  • Social Sciences (miscellaneous)

Fingerprint Dive into the research topics of 'Endogenous Spatial Regression and Delineation of Submarkets: A New Framework with Application to Housing Markets'. Together they form a unique fingerprint.

Cite this