Data-Driven Estimation of Treatment Buffers in Hedonic Analysis: An Examination of Surface Coal Mines

Luke G. Fitzpatrick and Christopher Parmeter

Land Economics, 2021, vol. 97, issue 3, 528-547

Abstract: In hedonic studies of how environmental disamenities influence house prices, the homes that are treated are typically unknown. We propose a new method for defining treatment buffers and apply our technique to disamenities that have thus far received little attention: surface coal mines. Our leave-one-out cross-validation approach identifies an optimal buffer of 2,300 m in two Appalachian counties at which effects dissipate. Hedonic regressions indicate that treated homes sell for 15.5% less than untreated homes. We supplement these results with nearest-neighbor covariate matching models and recover average treatment effects on the treated of 14.7% price reductions.

JEL-codes: C21 Q32 (search for similar items in EconPapers)
Date: 2021
Note: DOI: 10.3368/wple.97.3.090119-0126R1
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:uwp:landec:v:97:y:2021:i:3:p:528-547

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