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• W4308492722 abstract "• Land prices are at the heart of urban economics but are generally not observed directly. • Locally weighted regressions are used to price a hypothetical standardized type across two urban areas: Maricopa County, Arizona and Sedgwick County, Kansas. • Because construction costs do not vary within a metropolitan area, the variation in the standardized value surface should reflect underlying differences in land values. • By pinning down this surface using vacant lot sales at the periphery, we are able to extract land values throughout the metropolitan area, even where vacant land sales are rare. Land prices are at the heart of urban economics but are generally not observed directly. Though they are central to household and firm location choices, land-only sales in urban areas are rare and often outliers. Indeed, urban areas are in part defined by a largely contiguous area of high land-use intensity – those places in which developable land is scarce. In this paper, we make use of more-common market data to infer land prices: house sales. Using locally weighted regressions, we estimate the value of a standardized structure across two urban counties: Maricopa, Arizona and Sedgwick, Kansas. Because the value of the standardized structure should be invariant across different locations in a metropolitan area, any remaining variation in the value surface should reflect differences in land values. By pinning down this surface using vacant lot sales at the periphery, we are able to extract land values throughout the metropolitan area, even in locations where vacant land sales are rare." @default.
• W4308492722 created "2022-11-12" @default.
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• W4308492722 date "2022-12-01" @default.
• W4308492722 modified "2023-10-18" @default.
• W4308492722 title "Estimating land values using residential sales data" @default.
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• W4308492722 doi "https://doi.org/10.1016/j.jhe.2022.101869" @default.
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