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One-and-one-half-bound dichotomous choice contingent valuation

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Author Info

  • Cooper, Joseph C.
  • Hanemann, W. Michael

    ()
    (University of California, Berkeley. Dept of agricultural and resource economics and policy)

  • Signorello, Giovanni

Abstract

To reduce the potential for response bias on the follow-up bid in multiple-bound discrete choice CVM questions while maintaining much of the efficiency gains of the multiple-bound approach, we introduce the one-and-one-half-bound (OOHB) approach. Despite the fact that the OOHB model uses less information than the double-bound (DB) approach, efficiency gains in moving from single-bound to OOHB capture a large portion of the gain associated with moving from single-bound to DB. In an analysis of survey data, our OOHB estimates demonstrated higher consistency with respect to the follow-up data than the DB estimates and were more efficient as well.

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Bibliographic Info

Paper provided by University of California at Berkeley, Department of Agricultural and Resource Economics and Policy in its series CUDARE Working Paper Series with number 921.

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Length: 31 pages
Date of creation: 2001
Date of revision:
Handle: RePEc:are:cudare:921

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Keywords: contingent valuation; mathematical models; probabilities; willingness to pay;

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  1. 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.
  2. 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.
  3. 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.
  4. 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.
  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. Gallant, A. Ronald, 1982. "Unbiased determination of production technologies," Journal of Econometrics, Elsevier, vol. 20(2), pages 285-323, November.
  7. Kanninen Barbara J., 1995. "Bias in Discrete Response Contingent Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 28(1), pages 114-125, January.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
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