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Estimating Benefits for Effective Enforcement of Speed Reduction from Dichotomous-Choice CV

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  • Riccardo Scarpa
  • Kenneth Willis
  • Guy Garrod

Abstract

We present an empirical estimation of the distribution of WTP foreffective speed restriction via implementation of local trafficcalming schemes. Random samples are drawn from the populations ofhouseholds (henceforth HHs) of three centres intersected by maintrunk roads with varying through traffic conditions. We estimatethe underlying WTP distributions from discrete-choice responsesto site-specific referendum contingent valuation studiesaccounting for zero-bidders. We then test the hypothesis ofdifferent distributions across villages. The statistical analysisconsists first of a parametric specification and then of atotally non-parametric one. Stated welfare changes for effectivespeed reduction are found to be sizeable and the parameters ofthe random utility models are plausibly related to differences inobjective speed measures across centres. The results appear toencourage the use of the referencum-CV method in the estimationof local public goods. In this case study the proposed publicproject would seem to pass the Kaldor-Hicks potentialcompensation test. Copyright Kluwer Academic Publishers 2001

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Bibliographic Info

Article provided by European Association of Environmental and Resource Economists in its journal Environmental and Resource Economics.

Volume (Year): 20 (2001)
Issue (Month): 4 (December)
Pages: 281-304

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Handle: RePEc:kap:enreec:v:20:y:2001:i:4:p:281-304

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Web page: http://www.springerlink.com/link.asp?id=100263

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  1. Haab, Timothy C. & McConnell, Kenneth E., 1997. "Referendum Models and Negative Willingness to Pay: Alternative Solutions," Journal of Environmental Economics and Management, Elsevier, vol. 32(2), pages 251-270, February.
  2. Carson, Richard T & Groves, Theodore, 2010. "Incentive and Information Properties of Preference Questions," University of California at San Diego, Economics Working Paper Series qt88d8644g, Department of Economics, UC San Diego.
  3. 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.
  4. Bengt Kristr�m, 1997. "Spike Models in Contingent Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 1013-1023.
  5. 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 715-19, November.
  6. 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.
  7. Barbara J. Kanninen, 1993. "Optimal Experimental Design for Double-Bounded Dichotomous Choice Contingent Valuation," Land Economics, University of Wisconsin Press, vol. 69(2), pages 138-146.
  8. Carson, Richard T. & Hanemann, W. Michael, 2006. "Contingent Valuation," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 17, pages 821-936 Elsevier.
  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. An, Mark Y. & Roberto Ayala, 1995. "A Mixture Model of Willingness to Pay Distributions," Working Papers 95-21, Duke University, Department of Economics.
  11. Mark Yuying An & Roberto Ayala, 1996. "Nonparametric Estimation of a Survivor Function with Across- Interval-Censored Data," Econometrics 9611003, EconWPA.
  12. Riccardo Scarpa & Ian Bateman, 2000. "Efficiency Gains Afforded by Improved Bid Design versus Follow-up Valuation Questions in Discrete-Choice CV Studies," Land Economics, University of Wisconsin Press, vol. 76(2), pages 299-311.
  13. 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.
  14. W. George Hutchinson & Riccardo Scarpa & Susan M. Chilton & T. McCallion, 2001. "Parametric and Non-Parametric Estimates of Willingness to Pay for Forest Recreation in Northern Ireland: A Discrete Choice Contingent Valuation Study with Follow-Ups," Journal of Agricultural Economics, Wiley Blackwell, vol. 52(1), pages 104-122.
  15. Mattias Boman & Göran Bostedt & Bengt Kriström, 1999. "Obtaining Welfare Bounds in Discrete-Response Valuation Studies: A Non-Parametric Approach," Land Economics, University of Wisconsin Press, vol. 75(2), pages 284-294.
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Citations

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Cited by:
  1. Schlapfer, Felix, 2006. "Survey protocol and income effects in the contingent valuation of public goods: A meta-analysis," Ecological Economics, Elsevier, vol. 57(3), pages 415-429, May.
  2. Jesus Barreiro & Mercedes Sanchez & Montserrat Viladrich-Grau, 2005. "How much are people willing to pay for silence? A contingent valuation study," Applied Economics, Taylor & Francis Journals, vol. 37(11), pages 1233-1246.
  3. Pere Riera & Raúl Brey & Guillermo Gándara, 2008. "Bid design for non-parametric contingent valuation with a single bounded dichotomous choice format," Hacienda Pública Española, IEF, vol. 186(3), pages 43-60, October.

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