Willingness to pay to avoid arsenic-related risks: a special regressor approach

References

• Andersen, S., J. Fountain, G.W. Harrison, A.R. Hole, and E.E. Rutstrom. 2012. “Inferring Beliefs as Subjectively Imprecise Probabilities.” Theory and Decision 73: 161–184.
   Web of Science ®Google Scholar
• Arrow, K., R. Solow, P.R. Portney, E.E. Leamer, R. Radner, and H. Schuman. 1993. “Report of the NOAA Panel on Contingent Valuation.” Federal Register 58 (10): 4601–4614.
   Google Scholar
• Baker, J., W.D. Shaw, M. Riddel, and R.T. Woodward. (2009). “Changes in Subjective Risks of Hurricanes as Time Passes: Analysis of a Sample of Katrina Evacuees.” Journal of Risk Research 12 (1): 59–74.
   Web of Science ®Google Scholar
• Bostrom, A., B. Fischhoff, and M.G. Morgan. 1992. “Characterizing Mental Models of Hazardous Processes: A Methodology and an Application to Radon.” Journal of Social Issues 48 (4): 85–100.
   Web of Science ®Google Scholar
• Boyle, K.J., G.L. Poe, and J.C. Bergstrom. 1994. “What Do We Know About Groundwater Values? Preliminary Implications from a Meta-analysis of Contingent-Valuation Studies.” American Journal of Agricultural Economics 76 (5): 1055–1061.
   Web of Science ®Google Scholar
• Cameron, T.A. 2005. “Individual Option Prices for Climate Change Mitigation.” Journal of Public Economics 89 (2–3/Feb.): 283–301.
   Web of Science ®Google Scholar
• Carson, R.T., P. Koundouri, and C. Nauges 2011. “Arsenic Mitigation in Bangladesh: A Household Labor Market Approach.” American Journal of Agricultural Economics 93 (2): 407–414.
   Web of Science ®Google Scholar
• Cerroni, S., S. Notaro, and W.D. Shaw. 2012. “Estimating and Eliciting Valid Subjective Probabilities: An Experimental Investigation Using the Exchangeability Method.” Journal of Economic Behavior and Organization 84 (Sep.): 201–215.
   Web of Science ®Google Scholar
• Cho, Y., K.W. Easter, and K. Yoshifumi. 2010. “Economic Evaluation of the New U.S. Arsenic Standard for Drinking Water: A Disaggregate Approach.” Water Resources Research 46. doi:10.1029/2009WR008269.
   PubMed Web of Science ®Google Scholar
• Corso, P.S., J.K. Hammitt, and J.D. Graham. 2001. “Valuing Mortality-Risk Reduction: Using Visual Aids to Improve the Validity of Contingent Valuation.” Journal of risk and Uncertainty 23 (2): 165–184.
   Web of Science ®Google Scholar
• Dominitz, J., and C. Manski. 2007. “Expected Equity Returns and Portfolio Choice: Evidence from the Health and Retirement Study.” Journal of the European Economic Association 5: 369–379.
   Web of Science ®Google Scholar
• Dong, Y., and A. Lewbel. 2015. “A Simple Estimator for Binary Choice Models with Endogenous Regressors.” Econometric Reviews 34 (1–2): 82–105.
   Web of Science ®Google Scholar
• Ellsberg, D. 1961. “Risk, Ambiguity, and the Savage Axioms.” Quarterly Journal of Economics 75: 643–669.
   Web of Science ®Google Scholar
• Etner, J., M. Jeleva, and J.M. Tallon. 2012. “Decision Theory Under Ambiguity.” Journal of Economic Surveys 26: 234–270.
   Web of Science ®Google Scholar
• Finucane, M.L., P. Slovic, C.K. Mertz, J. Flynn, and T.A. Satterfield. 2000. “Gender, Race, and Perceived Risk: The ‘White Male' Effect.” Health, Risk & Society 2 (2): 159–172.
   Web of Science ®Google Scholar
• Flynn, J., P. Slovic, and C.K. Mertz. 1994, “Gender, Race, and Perception of Environmental Health Risks.” Risk Analysis 14: 1101–1108.
   PubMed Web of Science ®Google Scholar
• Heckman, J.J., and R.J. Willis. 1977. “A Beta-Logistic Model for the Analysis of Sequential Labor Force Participation by Married Women.” Journal of Political Economy 85: 27–58.
   Web of Science ®Google Scholar
• Horowitz, J.L. 1992. “A Smoothed Maximum Score Estimator for the Binary Response Model.” Econometrica 60: 505–531.
   Web of Science ®Google Scholar
• Jakus, P.M., W.D. Shaw, T.N. Nguyen, and M. Walker. 2009. “Risk Perceptions of Arsenic in Tap Water and Consumption of Bottled Water.” Water Resources Research 45: W05405. doi:10.1029/2008WR007427.
   Web of Science ®Google Scholar
• Konishi, Y., and K. Adachi. 2011. “A Framework for Estimating Willingness-to-Pay to Avoid Endogenous Environmental Risks.” Resource and Energy Economics 33: 130–154.
   Web of Science ®Google Scholar
• Leiserowitz, A. 2006. “Climate Change Risk Perception and Policy Preferences: The Role of Affect, Imagery, and Values.” Climatic Change 77 (1–2): 45–72.
   Web of Science ®Google Scholar
• Lewbel, A. 2000. “Semiparametric Qualitative Response Model Estimation with Unknown Heteroscedasticity or Instrumental Variables.” Journal of Econometrics 97: 145–177.
   Web of Science ®Google Scholar
• Lewbel, A., Y. Dong, and T. Yang. 2012. “Comparing Features of Convenient Estimators for Binary Choice Models with Endogenous Regressors.” Canadian Journal of Economics 45 (3): 809–829
   Web of Science ®Google Scholar
• Lewbel, A., D. McFadden, and O. Linton. 2011. “Estimating Features of a Distribution from Binomial Data.” Journal of Econometrics 162: 170–188.
   Web of Science ®Google Scholar
• Lichtenstein, S., P. Slovic, B. Fischhoff, M. Layman, and B. Combs. 1978. “Judged Frequency of Lethal Events.” Journal of Experimental Psychology: Human Learning and Memory 4 (6): 551–578.
   Google Scholar
• Magnac, T., and E. Maurin. 2007. “Identification and Information in Mono-tone Binary Models.” Journal of Econometrics 139: 76–104.
   Web of Science ®Google Scholar
• Manski, C. 2004. “Measuring Expectations.” Econometrica 72 (5/Sep.): 1329–1376.
   Web of Science ®Google Scholar
• Mastrandrea, M.D., C.B. Field, T.F. Stocker, O. Edenhofer, K.L. Ebi, D.J. Frame, H. Held, et al. 2010. Guidance Note for Lead Authors of the IPCC Fifth Assessment Report on Consistent Treatment of Uncertainties. Intergovernmental Panel on Climate Change (IPCC). http://www.ipcc.ch
   Google Scholar
• NAS (National Academy of Sciences, Board on Environmental Studies and Toxicology). 2001. Arsenic in Drinking Water: 2001 Update. Washington, DC: National Academies Press. http://www.national.nationalacademies.org
   Google Scholar
• Nguyen, T.N. 2008. “Essays on Econometric Modeling of Subjective Perceptions of Risks in Environment and Human Health.” PhD diss., College Station, TX: A&M University.
   Google Scholar
• Nguyen, T.N., P.M. Jakus, M. Riddel, and W.D. Shaw. 2010. “An Empirical Model of Perceived Mortality Risks for Selected U.S. Arsenic Hot Spots.” Risk Analysis 30 (10/Oct.): 1550–1562
   PubMed Web of Science ®Google Scholar
• Opar, A., A. Pfaff, A.A. Seddique, K.M. Ahmed, J.H. Graziano, and A. van Geen. 2007. “Responses of 6500 Households to Arsenic Mitigation in Araihaza, Bangladesh.” Health & Place 13 (1): 164–172.
   PubMed Web of Science ®Google Scholar
• Riddel, M. 2009. “Risk Perception, Ambiguity, and Nuclear-Waste Transport.” Southern Economic Journal 75: 781–797.
   Web of Science ®Google Scholar
• Riddel, M. 2011. “Uncertainty and Measurement Error in Welfare Models for Risk Changes.” Journal of Environmental Economics and Management 61: 341–354.
   Web of Science ®Google Scholar
• Riddel, M. 2012. “Comparing Risk Preferences Over Financial and Environmental Lotteries.” Journal of Risk and Uncertainty 45 (2): 135–157.
   Web of Science ®Google Scholar
• Riddel, M., and W.D. Shaw. 2006. A Theoretically Consistent Empirical Model of Non-expected Utility: An Application to Nuclear-Waste Transport.” Journal of Risk and Uncertainty 32 (2/Mar.): 131–150.
   Web of Science ®Google Scholar
• Shaw, W.D., P.M. Jakus, and M. Riddel. 2012. “Perceived Arsenic-Related Mortality Risks for Smokers and Non-smokers.” Contemporary Economic Policy 30 (Jul.): 417–429.
   Web of Science ®Google Scholar
• Slovic, P. 1987. “Perception of Risk.” Science 236: 280–285.
   PubMed Web of Science ®Google Scholar
• Stock J.H., and Yogo M. 2002. “Testing for Weak Instruments in Linear IV Regression.” Technical Working Paper 284. Cambridge, MA: National Bureau of Economic Research.
   Google Scholar
• Treich, N. 2010. “The Value of a Statistical Life Under Ambiguity Aversion.” Journal of Environmental Economics and Management 59 (1): 15–26.
   Web of Science ®Google Scholar
• Viscusi, W.K. 1990. “Do Smokers Underestimate Risks?” The Journal of Political Economy 98 (6): 1253–1269.
   Web of Science ®Google Scholar
• Viscusi, W.K. 1991. “Age Variations in Risk Perceptions and Smoking Decisions.” The Review of Economics and Statistics 73 (4): 577–588.
   Web of Science ®Google Scholar
• Viscusi, W.K., and W.A. Magat. 1992. “Bayesian Decisions with Ambiguous Belief Aversion.” Journal of Risk and Uncertainty 5: 371–387.
   Web of Science ®Google Scholar
• Wooldridge, J.M. 2000. Introductory Econometrics: A Modern Approach. New York: South-Western College Publishing.
   Google Scholar