PT - JOURNAL ARTICLE AU - Fitzpatrick, Luke G. AU - Parmeter, Christopher F. TI - Data-Driven Estimation of Treatment Buffers in Hedonic Analysis: An Examination of Surface Coal Mines AID - 10.3368/le.97.3.528 DP - 2021 Aug 01 TA - Land Economics PG - 528--547 VI - 97 IP - 3 4099 - http://le.uwpress.org/content/97/3/528.short 4100 - http://le.uwpress.org/content/97/3/528.full SO - Land Econ2021 Aug 01; 97 AB - 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.