The Neighborhood Brand Effect on Housing Prices
Working paper
Abstract
We propose that neighborhoods have a measurable effect on housing prices. In theory, searching for houses by neighborhood can be seen as a heuristic process, reducing the time and effort needed to evaluate a plethora of particular local attributes that are associated with the price premium of the house. To test this hypothesis, we estimate the neighborhood’s fixed effect that picks up the time-invariant quality of the area within the framework of a hedonic housing price model. Our database encompasses more than 50,000 housing market transactions in Charleston, South Carolina. Our regression fits the data extremely well, with the neighborhood fixed effect exerting a pronounced effect on regression results and outperforming significantly alternative local areal units. The fixed effect estimates are ultimately rank-ordered to evaluate their heterogeneous effect on the housing price premium. The analysis reveals that neighborhood fixed effects capture effectively the wide range of house price premiums, from high-priced historic districts and ocean-side communities to low-price, poverty-stricken areas damaged by urban redevelopment. In addition, our approach to using spatial fixed effect estimates as a tool to measure the brand effect of regions can be used to assess the value of regional identity in other contexts like industry location and migration.
The second important contribution we make to the literature is a new method of estimating the Moran’s I in large data sets. Based on our simplified Moran’s I tests, we show that spatial dependence is effectively eliminated when the neighborhood fixed effects are added to the model. This original econometric tool can be applied to a wide range of urban and regional research.