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Using Auxiliary Population Samples for Sample-Selection Correction in Models Based on Crowd-Sourced Volunteered Geographic Information

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  • Trudy Ann Cameron
  • Sonja H. Kolstoe
Abstract
Data from citizen science (CS) projects (and some social media) can offer selected samples with extensive information about human interactions with the natural world. Independently, we elicit levels of engagement with the eBird project from members of the eBird CS project and from a general-population sample. The general-population sample allows an ordered-probit model to explain propensities to engage with eBird at different levels, which we transfer to predict selection-correction terms for our independent sample of eBird members. We illustrate our method with a question posed only to our eBird-member survey sample about the radii of their individual spatial consideration sets for typical one-day birding excursions.

Suggested Citation

  • Trudy Ann Cameron & Sonja H. Kolstoe, 2022. "Using Auxiliary Population Samples for Sample-Selection Correction in Models Based on Crowd-Sourced Volunteered Geographic Information," Land Economics, University of Wisconsin Press, vol. 98(1), pages 1-21.
    • Handle: RePEc:uwp:landec:v:98:y:2022:i:1:p:1-21
    Note: DOI: 10.3368/le.98.1.040720-0050R1
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    References listed on IDEAS

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    2. Klaus Glenk & Robert J. Johnston & Jürgen Meyerhoff & Julian Sagebiel, 2020. "Spatial Dimensions of Stated Preference Valuation in Environmental and Resource Economics: Methods, Trends and Challenges," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 215-242, February.
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    4. Vogdrup-Schmidt, Mathias & Abatayo, Anna Lou & Shogren, Jason F. & Strange, Niels & Thorsen, Bo Jellesmark, 2019. "Factors Affecting Support for Transnational Conservation Targeting Migratory Species," Ecological Economics, Elsevier, vol. 157(C), pages 156-164.
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    6. Robert J. Johnston & Abdulallah S. Abdulrahman, 2017. "Systematic non-response in discrete choice experiments: implications for the valuation of climate risk reductions," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 6(3), pages 246-267, July.
    7. Kolstoe, Sonja & Cameron, Trudy Ann, 2017. "The Non-market Value of Birding Sites and the Marginal Value of Additional Species: Biodiversity in a Random Utility Model of Site Choice by eBird Members," Ecological Economics, Elsevier, vol. 137(C), pages 1-12.
    8. Holland, Benedict M. & Johnston, Robert J., 2017. "Optimized quantity-within-distance models of spatial welfare heterogeneity," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 110-129.
    9. Joffre Swait & Cristiano Franceschinis & Mara Thiene, 2020. "Antecedent Volition and Spatial Effects: Can Multiple Goal Pursuit Mitigate Distance Decay?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 243-270, February.
    10. Kolstoe, Sonja & Cameron, Trudy Ann & Wilsey, Chad, 2018. "Climate, Land Cover, and Bird Populations: Differential Impacts on the Future Welfare of Birders across the Pacific Northwest," Agricultural and Resource Economics Review, Cambridge University Press, vol. 47(2), pages 272-310, August.
    11. Ivana Logar & Roy Brouwer, 2018. "Substitution Effects and Spatial Preference Heterogeneity in Single- and Multiple-Site Choice Experiments," Land Economics, University of Wisconsin Press, vol. 94(2), pages 302-322.
    12. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    13. Bakhtiari, Fatemeh & Jacobsen, Jette Bredahl & Thorsen, Bo Jellesmark & Lundhede, Thomas Hedemark & Strange, Niels & Boman, Mattias, 2018. "Disentangling Distance and Country Effects on the Value of Conservation across National Borders," Ecological Economics, Elsevier, vol. 147(C), pages 11-20.
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    Cited by:

    1. Tharaka A. Jayalath & Patrick Lloyd-Smith & Marcus Becker, 2023. "Biodiversity Benefits of Birdwatching Using Citizen Science Data and Individualized Recreational Demand Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(1), pages 83-107, October.
    2. Shusaku Sasaki & Takahiro Kubo & Shodai Kitano, 2024. "Prosocial and Financial Incentives for Biodiversity Conservation: A Field Experiment Using a Smartphone App," Papers 2402.18047, arXiv.org.
    3. Gellman, Jacob & Walls, Margaret A. & Wibbenmeyer, Matthew, 2023. "Welfare Losses from Wildfire Smoke: Evidence from Daily Outdoor Recreation Data," RFF Working Paper Series 23-31, Resources for the Future.

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    More about this item

    JEL classification:

    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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