This paper examines anisotropic spatial autocorrelation in single-family house prices and in hedonic house price equation residuals using a spherical semivariogram and transactions data for one county in the Philadelphia, Pennsylvania MSA. Isotropic semivariograms model spatial relationships as a function of the distance separating properties in space. Anisotropic semivariograms model spatial relationships as a function of both the distance and the direction separating observations in space.
The goals of this paper are: (1) to determine whether there is spatial autocorrelation in the hedonic residuals; and (2) to empirically examine the validity of the isotropy assumption. We estimate the parameters of spherical semivariograms for house prices and for hedonic house price equation residuals for 21 housing submarkets within Montgomery County, Pennsylvania. These housing submarkets are constructed by dividing the entire county into 21 groupings of economically similar adjacent census tracts. Census tracts are grouped according to 1990 census tract median house prices and according to characteristics of the housing stock. We fit the residuals of each submarket hedonic house price equation to both isotropic and anisotropic spherical semivariograms. We find evidence of spatial autocorrelation in the hedonic residuals in spite of a very elaborate hedonic specification. Additionally, we have determined that, in some submarkets, the spatial autocorrelation in the hedonic residuals is anisotropic rather than isotropic. The empirical results suggest that the spatial autocorrelation in single-family house prices and in hedonic house price equation residuals is anisotropic in submarkets where most residents commute to a regional or local Central Business District (CBD).
We acknowledge Professor Tony Smith, John Green of REALIST, and Paul Amos for their assistance with this paper.
1010 Affordable Housing Architecture Asia Australia bonds Borrowing Constraints California Canada China coastal markets cold storage Colombia Commercial Brokerage Commercial Real Estate commissions Congestion consumer bias covid-19 CRE credit card market Credit Default Swaps Credit Insurance Credit Risk Transfers Culture data centers Debt Market Demand Demographics Density Development Discrete Choice disruption Diversity e-Commerce Economic Corridors economic policy economics education election studies Equity Market Ethnic Factors Europe Fannie Mae financial asset management Foreclosures France Freddie Mac general equilibrium Global global economy Global Financial Crisis great depression Great Recession healthy buildings Hedonic hospitality Housing & Residential housing boom Housing Disease housing prices Housing Supply Identity Income Inequality India inflation Inter-generational mobility interest rates Investing Lagging Regions land use regulation Language life sciences Macroeconomics Microeconomics Migration Minimum Payments Mixed-Use Mobility moral hazard mortgage insurance mortgage market Mortgage Rates Mortgages Multi-family Nation Building Non-Traditional Mortgages office sector pension funds Placed Based Policies Political Risk Price Discovery public health public policy Public Schools real estate brokerage Real Estate Investment Real Estate Investment Trusts Recession Rental Retail Retirement reverse mortgages risk management risk-shifting single family housing Slums Sorting South America Spatial Regions spillover effect stimulus package Sub-Prime Mortgages Supply Chains Sustainability Technology telecommunications unemployment United States Urban Urbanization welfare work from home