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Bias and efficiency of single versus double bound models for contingent valuation studies: a Monte Carlo analysis

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  • Pinuccia Calia
  • Elisabetta Strazzera

Abstract

The dichotomous choice contingent valuation method can be used either in the single or double bound formulation. The former is easier to implement, while the latter is known to be more efficient. We analyse the bias of the ML estimates produced by either model, and the gain in efficiency associated to the double bound model, in different experimental settings. We find that there are no relevant differences in point estimates given by the two models, even for small sample size. The greater efficiency of the double bound is confirmed, although differences tend to reduce by increasing the sample size. Provided that a reliable pretest is conducted, and the sample size is large, use of the single rather than the double bound model is warranted.

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  • Pinuccia Calia & Elisabetta Strazzera, 2000. "Bias and efficiency of single versus double bound models for contingent valuation studies: a Monte Carlo analysis," Applied Economics, Taylor & Francis Journals, vol. 32(10), pages 1329-1336.
    • Handle: RePEc:taf:applec:v:32:y:2000:i:10:p:1329-1336
    DOI: 10.1080/000368400404489
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    1. Alberini Anna, 1995. "Efficiency vs Bias of Willingness-to-Pay Estimates: Bivariate and Interval-Data Models," Journal of Environmental Economics and Management, Elsevier, vol. 29(2), pages 169-180, September.
    2. Herriges, Joseph A. & Shogren, Jason F., 1996. "Starting Point Bias in Dichotomous Choice Valuation with Follow-Up Questioning," Journal of Environmental Economics and Management, Elsevier, vol. 30(1), pages 112-131, January.
    3. Cameron, Trudy Ann, 1988. "A new paradigm for valuing non-market goods using referendum data: Maximum likelihood estimation by censored logistic regression," Journal of Environmental Economics and Management, Elsevier, vol. 15(3), pages 355-379, September.
    4. Jeffrey L. Jordan & Abdelmoneim H. Elnagheeb, 1994. "Consequences of Using Different Question Formats in Contingent Valuation: A Monte Carlo Study," Land Economics, University of Wisconsin Press, vol. 70(1), pages 97-110.
    5. Cameron Trudy Ann & Quiggin John, 1994. "Estimation Using Contingent Valuation Data from a Dichotomous Choice with Follow-Up Questionnaire," Journal of Environmental Economics and Management, Elsevier, vol. 27(3), pages 218-234, November.
    6. W. Michael Hanemann, 1984. "Welfare Evaluations in Contingent Valuation Experiments with Discrete Responses," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(3), pages 332-341.
    7. Michael Hanemann & John Loomis & Barbara Kanninen, 1991. "Statistical Efficiency of Double-Bounded Dichotomous Choice Contingent Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1255-1263.
    8. Whittington, Dale & Smith, V. Kerry & Okorafor, Apia & Okore, Augustine & Liu, Jin Long & McPhail, Alexander, 1992. "Giving respondents time to think in contingent valuation studies: A developing country application," Journal of Environmental Economics and Management, Elsevier, vol. 22(3), pages 205-225, May.
    9. Joseph C. Cooper, 1994. "A Comparison of Approaches to Calculating Confidence Intervals for Benefit Measures from Dichotomous Choice Contingent Valuation Surveys," Land Economics, University of Wisconsin Press, vol. 70(1), pages 111-122.
    10. Trudy Ann Cameron, 1991. "Interval Estimates of Non-Market Resource Values from Referendum Contingent Valuation Surveys," Land Economics, University of Wisconsin Press, vol. 67(4), pages 413-421.
    11. Kanninen Barbara J., 1995. "Bias in Discrete Response Contingent Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 28(1), pages 114-125, January.
    12. Timothy Park & John B. Loomis & Michael Creel, 1991. "Confidence Intervals for Evaluating Benefits Estimates from Dichotomous Choice Contingent Valuation Studies," Land Economics, University of Wisconsin Press, vol. 67(1), pages 64-73.
    13. Cameron, Trudy Ann & James, Michelle D, 1987. "Efficient Estimation Methods for "Closed-ended' Contingent Valuation Surveys," The Review of Economics and Statistics, MIT Press, vol. 69(2), pages 269-276, May.
    14. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
    15. Kling, Catherine L., 1997. "Evaluation of the Gains from Combining Travel Cost and Contingent Valuation Data to Value Nonmarket Goods (An)," Staff General Research Papers Archive 1598, Iowa State University, Department of Economics.
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