Estimating willingness to pay with the stochastic payment card design: further evidence from rural Cameroon
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This study reports new empirical findings of the field test of the stochastic payment card (SPC) design recently proposed by Wang (Contingent valuation of environmental resources: A stochastic perspective, 1997a; Journal of Environmental Economics & Management 32:219–232, 1997b). The purpose is to see how well this new contingent valuation method (CVM) elicitation format works in different cultural contexts, and what lessons can be drawn in general regarding its usefulness in environmental valuation. The survey is designed to estimate willingness to pay (WTP) values for an intended community-based environmental project in rural Cameroon (i.e., the control of malaria using larvivorous eating fish species). In order to estimate the bid function, Heckman’s 2-step method is used to detect, and if possible, correct for sample selection bias, an issue overlooked by the 2-step modeling approach proposed by Wang (1997a). The results suggest generally that in the presence of sample selection bias, Heckman’s 2-step estimates are more efficient and reliable for the public project in question than Wang’s proposed 2-stage modeling approach.
KeywordsCameroon Field test SPC design Sample selection bias Heckman’s 2-step estimator
The authors are extremely grateful to E. Strazzera and H. Wang for their invaluable guidance and assistance while preparing the final Dissertation from which this paper is derived. The helpful suggestions and comments from Prof. A. O. Okore (Late) and Apia E. Okorafor are gratefully acknowledged. We equally thank the Editor and an anonymous referee whose comments and suggestions have helped greatly to improve the quality of this paper. The study from which this paper is derived was generously funded by the African Economic Research Consortium (AERC). However, the views and opinions expressed in the article are those of the authors and not of the consortium. Usual caveat applies.
- Arrow, J. K., Solow, R., Portney, P. R., Leamer, E. E., Radner, R., & Schumand, H. (1993). Report of the NOAA panel on contingent valuation to the general council of the NOAA administration. Washington DC: Resources for the Future.Google Scholar
- Ataguba, A. J., Ichoku, E. H., & Fonta, M. W. (2008). Estimating the willingness to pay for community healthcare insurance in rural Nigeria. PEP Working Paper No 2008-10, University of Laval, Canada. http//www.pep-net.org/NEW-PEP/Group/papers/wp.htm.
- Calia, P., & Strazzera, E. (2001). A sample selection model for protest responses in contingent valuation analyses. Statistical, 61(3), 473–485.Google Scholar
- Fonta, M. W. (2006). Valuation of community-based financing of environmental project: A case study of malaria control in Bambalang, Cameroon. PhD dissertation, Nsukka.Google Scholar
- Fonta, M. W., & Ichoku, E. H. (2006). Statistical efficiency of the OLS, Heckman’s 2-Step and ML estimators in addressing sample selection bias in social science research. Paper presented at the 11th African Econometric Society (AES) conference on econometric modelling for Africa, July 2006, Dakar, Senegal.Google Scholar
- Fonta, M. W., & Ichoku, E. H. (2009). The value of managing urban solid waste: A case study of Enugu State, Nigeria. Canadian Journal of Development Studies, 28(3–4) (in press).Google Scholar
- Fonta, M. W., & Omoke, P. C. (2008). Testing and correcting for sample selection bias in social science research: Application to contingent valuation method survey data. European Journal of Social Sciences, 6(2), 232–243.Google Scholar
- Freeman, A. M. (1993). The measurement of environmental and resource values: Theory and method. Washington DC: Resources for the Future.Google Scholar
- Ichoku, E. H., Fonta, M. W., & Kedir, M. A. (2007). Measuring individuals’ valuation distribution using a stochastic payment card approach: Application to solid waste management in Nigeria. Environment, Development and Sustainability. doi: 10.1007/s10668-007-9127-y.
- Koenker, J. (2004). Tobit, sample selection, and truncation: Economics 508, Lecture 18. Department of Economics. University of Illinois, USA. http://www.google.com.
- McClelland, G., Schulze, W., Waldman, D., Schenk, D., Irwin, J., Steward, T., Deck, L., & Thayer, M. (1993). Valuing eastern visibility: A field test of the contingent valuation method. Report prepared by University of Colorado under (U.S.E.P.A.) cooperative agreement No. CR-815183, Washington, DCGoogle Scholar
- Wang, H. (1997a). Contingent valuation of environmental resources: A stochastic perspective. Ph.D. thesis, University of North Carolina at Chapel Hill.Google Scholar
- Wang, H., Laplante, B., Wu, X., & Meisner, C. (2004). Estimating willingness-to-pay with random valuation models: An application to Lake Sevan, Armenia. World Bank Policy Research Working Paper No 3367, Washington, DC: World Bank.Google Scholar
- Wang, H., & Whittington, D. (2000). Willingness to pay for air quality improvement in Sofia, Bulgaria. World Bank Policy Research Working Paper No 2280, Washington, DC: World Bank.Google Scholar