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Citations for "Willingness to Pay for Mortality Risk Reductions: Does Latency Matter?"

by Anna Alberini & Maureen Cropper & Alan Krupnick & Nathalie B. Simon

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  1. Strand.J., 2001. "Public- and private-good values of statistical lives : results from a combined choice-experiment and contingent-valuation survey," Memorandum 31/2001, Oslo University, Department of Economics.
  2. Macauley, Molly, 2006. "Some Issues at the Forefront of Public Policy for Environmental Risk," Discussion Papers dp-06-01, Resources For the Future.
  3. Shaik, Saleem & Coble, Keith H. & Hudson, Darren & Miller, James C. & Hanson, Terrill R. & Sempier, Stephen H., 2008. "Willingness to Pay for a Potential Insurance Policy: Case Study of Trout Aquaculture," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 37(1), April.
  4. Svensson, Mikael, 2006. "The Value of a Statistical Life in Sweden Estimates from Two Studies using the "Certainty Approach" Calibration," Working Papers 2006:6, Örebro University, School of Business, revised 12 May 2009.
  5. Fredrik Carlsson & Mitesh Kataria & Alan Krupnick & Elina Lampi & Åsa Löfgren & Ping Qin & Susie Chun & Thomas Sterner, 2012. "Paying for Mitigation: A Multiple Country Study," Land Economics, University of Wisconsin Press, vol. 88(2), pages 326-340.
  6. Ami, Dominique & Aprahamian, Frédéric & Chanel, Olivier & Joulé, Robert-Vincent & Luchini, Stéphane, 2014. "Willingness to pay of committed citizens: A field experiment," Ecological Economics, Elsevier, vol. 105(C), pages 31-39.
  7. Henrik Andersson & Nicolas Treich, 2011. "The Value of a Statistical Life," Chapters,in: A Handbook of Transport Economics, chapter 17 Edward Elgar Publishing.
  8. Olivier Chanel & Pascale Scapecchi & Jean-Christophe Vergnaud, 2006. "How to correctly assess mortality benefits in public policies," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 49(5), pages 759-776.
  9. Therese Grijalva & Jayson Lusk & W. Shaw, 2014. "Discounting the Distant Future: An Experimental Investigation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(1), pages 39-63, September.
  10. Cameron, Trudy Ann & DeShazo, J.R., 2013. "Demand for health risk reductions," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 87-109.
  11. Carlsson, Fredrik & Kataria, Mitesh & Krupnick, Alan & Lampi, Elina & Löfgren, Åsa & Qin, Ping & Sterner, Thomas, 2013. "A fair share: Burden-sharing preferences in the United States and China," Resource and Energy Economics, Elsevier, vol. 35(1), pages 1-17.
  12. Haitao Yin, 2013. "Insurance Approach for Financing Extreme Climate Event Losses in China: A Status Analysis," EEPSEA Research Report rr2013035, Economy and Environment Program for Southeast Asia (EEPSEA), revised Mar 2013.
  13. Botzen, W.J.W. & van den Bergh, J.C.J.M., 2012. "Risk attitudes to low-probability climate change risks: WTP for flood insurance," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 151-166.
  14. World Bank, 2011. "Air Quality Analysis of Ulaanbaatar," World Bank Other Operational Studies 26802, The World Bank.
  15. Anna Alberini & Stefania Tonin & Margherita Turvani & Aline Chiabai, 2007. "Paying for permanence: Public preferences for contaminated site cleanup," Journal of Risk and Uncertainty, Springer, vol. 34(2), pages 155-178, April.
  16. Anna Alberini & Milan Ščasný, 2011. "Context and the VSL: Evidence from a Stated Preference Study in Italy and the Czech Republic," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(4), pages 511-538, August.
  17. Dominika Parry Dziegielewska & Robert Mendelsohn, 2005. "Valuing Air Quality in Poland," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 30(2), pages 131-163, February.
  18. Braun, Alexander & Schmeiser, Hato & Schreiber, Florian, 2016. "On consumer preferences and the willingness to pay for term life insurance," European Journal of Operational Research, Elsevier, vol. 253(3), pages 761-776.
  19. Hammitt, James & Roman, Henry & Stieb, David & Walsh, Tyra, 2012. "Expert Elicitation of the Value per Statistical Life in an Air Pollution Context," LERNA Working Papers 12.10.367, LERNA, University of Toulouse.
  20. George Houtven & Melonie Sullivan & Chris Dockins, 2008. "Cancer premiums and latency effects: A risk tradeoff approach for valuing reductions in fatal cancer risks," Journal of Risk and Uncertainty, Springer, vol. 36(2), pages 179-199, April.
  21. Krupnick, Alan & Alberini, Anna & Simon, Nathalie & Itaoka, Kenshi & Akai, Makoto & Cropper, Maureen, 2005. "Age, Health, and the Willingness to Pay for Mortality Risk Reductions: A Contingent Valuation Survey in Japan," Discussion Papers dp-05-34, Resources For the Future.
  22. Henrik Andersson & James Hammitt & Gunnar Lindberg & Kristian Sundström, 2013. "Willingness to Pay and Sensitivity to Time Framing: A Theoretical Analysis and an Application on Car Safety," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 56(3), pages 437-456, November.
  23. Marcelo Lima, 2017. "Survey sponsor effects on the willingness to pay for mortality risk reductions," GRI Working Papers 272, Grantham Research Institute on Climate Change and the Environment.
  24. Luis A. Cifuentes & Alan J. Krupnick & Raúl O'Ryan & Michael A. Toman, 2005. "Urban Air Quality and Human Health in Latin America and the Caribbean," Documentos de Trabajo 212, Centro de Economía Aplicada, Universidad de Chile.
  25. McDonald, R.L. & Chilton, S.M. & Jones-Lee, M.W. & Metcalf, H.R.T., 2017. "Evidence of variable discount rates and non-standard discounting in mortality risk valuation," Journal of Environmental Economics and Management, Elsevier, vol. 82(C), pages 152-167.
  26. Hoffmann, Sandra & Qin, Ping & Krupnick, Alan & Badrakh, Burmaajav & Batbaatar, Suvd & Altangerel, Enkhjargal & Sereeter, Lodoysamba, 2012. "The willingness to pay for mortality risk reductions in Mongolia," Resource and Energy Economics, Elsevier, vol. 34(4), pages 493-513.
  27. Andrew Meyer, 2013. "Intertemporal Valuation of River Restoration," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(1), pages 41-61, January.
  28. Anna Alberini & Stefania Tonin & Margherita Turvani, 2009. "The Value of Reducing Cancer Risks at Contaminated Sites: Are More Heavily Exposed People Willing to Pay More?," Working Papers 2009.60, Fondazione Eni Enrico Mattei.
  29. Hoffmann, Sandra A. & Taylor, Michael R. & Morris, Joe & Krupnick, Alan J. & Batz, Michael B., 2004. "Identifying The Most Significant Microbiological Foodborne Risks To Public Health: A New Risk-Ranking Model," 2004 Annual meeting, August 1-4, Denver, CO 20291, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  30. Burtraw, Dallas & Palmer, Karen & Bharvirkar, Ranjit & Paul, Anthony, 2001. "Cost-Effective Reduction of NOx Emissions from Electricity Generation," Discussion Papers dp-00-55-rev, Resources For the Future.
  31. repec:jec:journl:v:13:y:2017:i:2:p:241-264 is not listed on IDEAS
  32. Krupnick, Alan & Taylor, Michael & Batz, Michael & Hoffmann, Sandra & Tick, Jody & Morris, Glenn & Sherman, Diane, 2004. "Identifying the Most Significant Microbiological Foodborne Hazards to Public Health: A New Risk Ranking Model," Discussion Papers dp-frsc-dp-01, Resources For the Future.
  33. Adamowicz, Wiktor & Dupont, Diane & Krupnick, Alan & Zhang, Jing, 2011. "Valuation of cancer and microbial disease risk reductions in municipal drinking water: An analysis of risk context using multiple valuation methods," Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 213-226, March.
  34. repec:rss:jnljsh:v1i1p5 is not listed on IDEAS
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.