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One-and-One-Half-Bound Dichotomous Choice Contingent Valuation

  • Joseph C. Cooper

    (Economic Research Service, USDA)

  • Michael Hanemann

    (University of California, Berkeley)

  • Giovanni Signorello

    (degli Studi di Catania)

Although the double-bound (DB) format for the discrete choice contingent valuation method (CVM) has the benefit of higher efficiency in welfare benefit estimates than the single-bound (SB) discrete choice CVM, it has been subject to criticism due to evidence that some of the responses to the second bid may be inconsistent with the responses to the first bid. As a means to reduce the potential for response bias on the follow-up bid in multiple-bound discrete choice formats such as the DB model while maintaining much of the efficiency gains of the multiple-bound approach, we introduce the one-and-one-half-bound (OOHB) approach and present a real-world application. In a laboratory setting, despite the fact that the OOHB model uses less information than the DB approach, the efficiency gains in moving from SB to OOHB capture a large portion of the gain associated with moving from SB to DB. Utilizing distribution-free seminonparametric estimation techniques on a split-survey data set, our OOHB estimates demonstrated higher consistency with respect to the follow-up data than the DB estimates and were more efficient as well. Hence, OOHB may serve as a viable alternative to the DB format in situations where follow-up response bias may be a concern. © 2002 President and Fellows of Harvard College and the Massachusetts Institute of Technology.

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Article provided by MIT Press in its journal Review of Economics and Statistics.

Volume (Year): 84 (2002)
Issue (Month): 4 (November)
Pages: 742-750

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Handle: RePEc:tpr:restat:v:84:y:2002:i:4:p:742-750
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  1. Trudy Ann Cameron & John Quiggin, 1992. "Estimation Using Contingent Valuation Data From a "Dichotomous Choice with Follow-Up" Questionnaire," UCLA Economics Working Papers 653, UCLA Department of Economics.
  2. Creel, Michael & Loomis, John, 1997. "Semi-nonparametric Distribution-Free Dichotomous Choice Contingent Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 32(3), pages 341-358, March.
  3. DeShazo, J. R., 2002. "Designing Transactions without Framing Effects in Iterative Question Formats," Journal of Environmental Economics and Management, Elsevier, vol. 43(3), pages 360-385, May.
  4. Herriges, Joseph A. & Shogren, Jason F., 1996. "Starting Point Bias in Dichotomous Choice Valuation with Follow-Up Questioning," Staff General Research Papers 1501, Iowa State University, Department of Economics.
  5. Chen, Heng Z. & Randall, Alan, 1997. "Semi-nonparametric estimation of binary response models with an application to natural resource valuation," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 323-340.
  6. Carson, R.T. & Mitchell, R.C. & Hanemann, W.M. & Kopp, R.J. & Presser, S. & Ruud, P.A., 1992. "A Contingent Valuation Study of Lost Passive Use Values Resulting From the Exxon Valdez Oil Spill," MPRA Paper 6984, University Library of Munich, Germany.
  7. Gallant, A. Ronald, 1982. "Unbiased determination of production technologies," Journal of Econometrics, Elsevier, vol. 20(2), pages 285-323, November.
  8. Cooper Joseph C., 1993. "Optimal Bid Selection for Dichotomous Choice Contingent Valuation Surveys," Journal of Environmental Economics and Management, Elsevier, vol. 24(1), pages 25-40, January.
  9. Deacon, Robert T & Shapiro, Perry, 1975. "Private Preference for Collective Goods Revealed Through Voting on Referenda," American Economic Review, American Economic Association, vol. 65(5), pages 943-55, December.
  10. Rauli Svento, 1993. "Some notes on trichotomous choice discrete valuation," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 3(6), pages 533-543, December.
  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.
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