<?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%">Connolly, Cristina</style></author><author><style face="normal" font="default" size="100%">Steinbach, Sandro</style></author><author><style face="normal" font="default" size="100%">Vo, Mike</style></author><author><style face="normal" font="default" size="100%">Wan, Xibo</style></author></authors><secondary-authors></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Evaluating Precision, Privacy, and Representation with Cell Phone Data</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%">2026</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2026-02-20 06:30:19</style></date></pub-dates></dates><elocation-id><style  face="normal" font="default" size="100%">012126-0010</style></elocation-id><doi><style  face="normal" font="default" size="100%">10.3368/le.102.3.012126-0010</style></doi><volume><style face="normal" font="default" size="100%"></style></volume><issue><style face="normal" font="default" size="100%"></style></issue><abstract><style  face="normal" font="default" size="100%">While mobility data has emerged as a promising alternative for assessing the economic value of recreation, their reliability depends critically on how data are processed and protected. This paper systematically evaluates how key data-handling practices affect the accuracy of recreation demand estimation. Using a random utility model to analyze recreation visits at Cape Cod beaches from 2019-2022, we evaluate how methodological choices influence the marginal willingness to pay (MWTP) for avoiding fecal bacteria contamination. We find an average MWTP of $8.92 per visit when using the proposed practices, such as refined visit definitions, sampling weights, and long-term choice sets. Deviations from these practices can introduce significant biases: relaxing the minimum dwell time and applying differential privacy reduce MWTP by 57% and 65%, respectively, while short-term choice set definition inflates it by 10%. By demonstrating the sensitivity of welfare estimates to data-processing decisions, this study highlights the importance of transparent and judicious mobility data practices for credible environmental valuation and evidence-based policymaking.</style></abstract></record></records></xml>