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Application of Sample Selection Model to Double-Bounded Dichotomous Choice Contingent Valuation Studies

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  • Seung-Hoon Yoo
  • Hee-Jong Yang

Abstract

Modeling households' behavior with the data from a contingentvaluation (CV) survey is often complicated by samplenon-response, which can cause non-response bias and sampleselection bias, leading to inconsistent parameter estimates and adistorted mean willingness-to-pay estimate. This paper reportsthe results of empirical tests for both biases using householdsurvey data in which the double-bounded dichotomous choice CVquestion involved the benefit of a tap water quality improvementpolicy in Korea. No non-response bias, but sample selection bias,is detected in the sample. To correct for sample selection bias,a sample selection model is employed. The authors also discusshow failure to correct for bias may distort aggregate benefitestimates. Copyright Kluwer Academic Publishers 2001

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  • Seung-Hoon Yoo & Hee-Jong Yang, 2001. "Application of Sample Selection Model to Double-Bounded Dichotomous Choice Contingent Valuation Studies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(2), pages 147-163, October.
    • Handle: RePEc:kap:enreec:v:20:y:2001:i:2:p:147-163
    DOI: 10.1023/A:1012625929384
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    7. Gschwandtner, Adelina & Jang, Cheul & McManus, Richard, 2018. "Improving Drinking Water Quality in South Korea: A Choice Experiment," 92nd Annual Conference, April 16-18, 2018, Warwick University, Coventry, UK 273472, Agricultural Economics Society.
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    16. Owusu, Victor & Owusu, Michael Anifori, 2010. "Measuring Market Potential for Fresh Organic Fruit and Vegetable in Ghana," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 95955, African Association of Agricultural Economists (AAAE).
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    18. Gustafsson-Wright, Emily & Asfaw, Abay & van der Gaag, Jacques, 2009. "Willingness to pay for health insurance: An analysis of the potential market for new low-cost health insurance products in Namibia," Social Science & Medicine, Elsevier, vol. 69(9), pages 1351-1359, November.

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