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Unit Non-Response Bias in the Interval Data Model

Author

Listed:
  • David A. Harpman
  • Michael P. Welsh
  • DEdward W. Sparling

Abstract

A mail survey was administered to a panel of Colorado consumers to obtain estimates of willingness to pay (WTP) for preserving Union Park. Detailed socioeconomic data for all surveyed individuals was available a priori. We develop and employ the multiple-bounded probit with selection (MBPS) model, to correct for non-response and self-selection bias. Statistical tests indicate estimates of WTP corrected for these biases are significantly higher than uncorrected estimates. The use of selection models requires an additional investment by researchers. These investments may be warranted for policy relevant studies.

Suggested Citation

  • David A. Harpman & Michael P. Welsh & DEdward W. Sparling, 2004. "Unit Non-Response Bias in the Interval Data Model," Land Economics, University of Wisconsin Press, vol. 80(3), pages 448-462.
  • Handle: RePEc:uwp:landec:v:80:y:2004:i:3:p:448-462
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    Cited by:

    1. Lindhjem, Henrik & Navrud, Ståle, 2008. "Internet CV surveys – a cheap, fast way to get large samples of biased values?," MPRA Paper 11471, University Library of Munich, Germany.
    2. Tuan, Tran Huu & Navrud, Stale, 2009. "Applying the dissonance-minimising format to value cultural heritage in developing countries," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(3), pages 1-17.

    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

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