2016•Journal of Sports EconomicsRequires access

Assessing the Economic Impact of Sports Facilities on Residential Property Values

Xia Ting Feng, Brad R. Humphreys

Open publisher page 126 citations

Abstract

We estimate the effect of proximity to two sports facilities in Columbus, OH, on residential property values. Results from a spatial hedonic model indicate that the presence of sports facilities in Columbus have a significant, positive, and distance-decaying effect on surrounding residential housing values, supporting the idea that professional sports facilities generate intangible benefits in the local economy. Ordinary least square (OLS) overestimates the hedonic model parameters compared with maximum likelihood and spatial two-stage least squares, suggesting that spatial autocorrelation plays an important role in this setting.

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What this paper is about

We estimate the effect of proximity to two sports facilities in Columbus, OH, on residential property values. Results from a spatial hedonic model indicate that the presence of sports facilities in Columbus have a significant, positive, and distance-decaying effect on surrounding residential housing values, supporting the idea that professional sports facilities generate intangible benefits in the local economy. Ordinary least square (OLS) overestimates the hedonic model parameters compared with maximum likelihood and spatial two-stage least squares, suggesting that spatial autocorrelation plays an important role in this setting.

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OpenAlex reports 126 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We estimate the effect of proximity to two sports facilities in Columbus, OH, on residential property values. Results from a spatial hedonic model indicate that the presence of sports facilities in Columbus have a significant, positive, and distance-decaying effect on surrounding residential housing values, supporting the idea that professional sports facilities generate intangible benefits in the local economy. Ordinary least square (OLS) overestimates the hedonic model parameters compared with maximum likelihood and spatial two-stage least squares, suggesting that spatial autocorrelation plays an important role in this setting.

Key concepts: Ordinary least squares, Residential property, Spatial analysis, Property value, Econometrics, Property (philosophy), Sports economics, Square (algebra)

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