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Abstract

A spatial probit model is estimated to test the influence of public services and neighborhood characteristics on relocation decisions of homebuyers in the Columbus, Ohio region. The model explicitly accounts for the spatial error autocorrelation that arises due to unobserved similarities across alternatives, which, if uncontrolled, results in inconsistent parameter estimates.

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