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

B-Tier
Journal: Journal of Applied Econometrics
Year: 2016
Volume: 31
Issue: 1
Pages: 32-57

Authors (4)

Arnab Bhattacharjee (National Institute of Economic) Eduardo Castro (not in RePEc) Taps Maiti (not in RePEc) João Marques (not in RePEc)

Score contribution per author:

0.503 = (α=2.01 / 4 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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. Copyright © 2015 John Wiley & Sons, Ltd.

Technical Details

RePEc Handle
repec:wly:japmet:v:31:y:2016:i:1:p:32-57
Journal Field
Econometrics
Author Count
4
Added to Database
2026-01-24