RT Journal Article SR Electronic T1 Data-Driven Estimation of Treatment Buffers in Hedonic Analysis: An Examination of Surface Coal Mines JF Land Economics JO Land Econ FD University of Wisconsin Press SP 528 OP 547 DO 10.3368/le.97.3.528 VO 97 IS 3 A1 Fitzpatrick, Luke G. A1 Parmeter, Christopher F. YR 2021 UL http://le.uwpress.org/content/97/3/528.abstract 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.