<?xml version='1.0' encoding='UTF-8'?><xml><records><record><source-app name="HighWire" version="7.x">Drupal-HighWire</source-app><ref-type name="Journal Article">17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Guignet, Dennis</style></author><author><style face="normal" font="default" size="100%">Heberling, Matthew T.</style></author><author><style face="normal" font="default" size="100%">Papenfus, Michael</style></author><author><style face="normal" font="default" size="100%">Griot, Olivia</style></author></authors><secondary-authors></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Property Values, Water Quality, and Benefit Transfer: A Nationwide Meta-analysis</style></title><secondary-title><style face="normal" font="default" size="100%">Land Economics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2022-05-01 00:00:00</style></date></pub-dates></dates><pages><style  face="normal" font="default" size="100%">191-218</style></pages><doi><style  face="normal" font="default" size="100%">10.3368/le.98.2.050120-0062R1</style></doi><volume><style face="normal" font="default" size="100%">98</style></volume><issue><style face="normal" font="default" size="100%">2</style></issue><abstract><style  face="normal" font="default" size="100%">We construct a comprehensive, publicly available meta-dataset based on 36 hedonic studies that examine the effects of water quality on housing values in the United States. The meta-dataset includes 656 unique estimates and entails a cluster structure that accounts for price effects at different distances. Focusing on water clarity, we estimate reduced-form meta-regressions that account for within-market dependence, statistical precision, housing market and waterbody heterogeneity, publication bias, and methodological practices. Although we find evidence of systematic heterogeneity, the out-of-sample transfer errors are large. We discuss the implications for benefit transfer and future work to improve transfer performance. (JEL Q51, Q53)</style></abstract></record></records></xml>