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Evaluating Precision, Privacy, and Representation with Cell Phone Data: Evidence from Recreational Demand for Cape Cod Beaches

Author

Listed:
  • Cristina Connolly
  • Sandro Steinbach
  • Mike Vo
  • Xibo Wan

Abstract

Mobility data are a promising tool for valuing recreation, but reliability depends on how data are processed and protected. This study evaluates how data practices affect recreation demand estimation. Using a random utility model of visits to Cape Cod beaches from 2019 to 2022, we estimate the marginal willingness to pay (MWTP) for avoiding fecal bacteria contamination. Under recommended practices, MWTP averages $8.92 per visit. Relaxing dwell-time thresholds and applying differential privacy reduce MWTP by 57% and 65%, while short-term choice sets inflate estimates by 10%. These results highlight the need for transparent mobility data practices.

Suggested Citation

  • Cristina Connolly & Sandro Steinbach & Mike Vo & Xibo Wan, 2026. "Evaluating Precision, Privacy, and Representation with Cell Phone Data: Evidence from Recreational Demand for Cape Cod Beaches," Land Economics, University of Wisconsin Press, vol. 102(3), pages 471-496.
    • Handle: RePEc:uwp:landec:v:102:y:2026:i:3:p:471-496
    Note: DOI: https://doi.org/10.3368/le.102.3.012126-0010
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    More about this item

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources

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