A Spatial Analysis of Housing Growth
AbstractThis study accounts for spatial spillover and spatial heterogeneity to estimate housing growth between 1990 and 2000 using Tennessee census-block group data. A deterministic estimation method, inverse distance weighted averaging is used to create neighborhood variables that can capture more accurate measurement of spatial spillover while reducing multicollinearity. The block-group specific local effects on housing growth are computed using locally weighted regression, and they are mapped using a geographical information system.
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Bibliographic InfoArticle provided by Southern Regional Science Association in its journal Review of Regional Studies.
Volume (Year): 35 (2005)
Issue (Month): 3 ()
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Census; Housing; Spatial;
Find related papers by JEL classification:
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
- R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
- R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
- R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
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