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Willingness to pay for weight-control treatment

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Author Info

  • Liu, Jin-Tan
  • Tsou, Meng-Wen
  • Hammitt, James K.

Abstract

Objectives To estimate willingness to pay (WTP) for alternative forms of weight-control treatment and evaluate how it varies with individual characteristics.Methods Contingent valuation (CV) survey of employed females in Taiwan using double-bounded dichotomous-choice question format and telephone interview. Statistical models include an estimated correction for sample-selection bias associated with respondents' interest in weight loss.Results Estimated WTP is strongly and positively associated with younger age, greater personal income, higher body weight, adverse personal weight perceptions, and greater peer pressure for weight control. There is a little evidence of sample-selection bias associated with the decision to lose weight. Estimated WTP for a weight-loss medicine is about US$ 12 per month, larger than estimated WTP for a low-calorie diet of about US$ 10 per month.Conclusions WTP for weight-control treatment among women in Taiwan is significant and related to individual characteristics such as age, income, and perceptions about current and optimal weight.

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Bibliographic Info

Article provided by Elsevier in its journal Health Policy.

Volume (Year): 91 (2009)
Issue (Month): 2 (July)
Pages: 211-218

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Handle: RePEc:eee:hepoli:v:91:y:2009:i:2:p:211-218

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Web page: http://www.elsevier.com/locate/healthpol

Related research

Keywords: Obesity Economics Cost of illness Quality of life;

References

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  1. Jin-Tan Liu & James K. Hammitt & Jung-Der Wang & Jin-Long Liu, 2000. "Mother's willingness to pay for her own and her child's health: a contingent valuation study in Taiwan," Health Economics, John Wiley & Sons, Ltd., vol. 9(4), pages 319-326.
  2. Alan J. Zillich & Karen Blumenschein & Magnus Johannesson & Patricia Freeman, 2002. "Assessment of the Relationship Between Measures of Disease Severity, Quality of Life, and Willingness to Pay in Asthma," PharmacoEconomics, Springer Healthcare | Adis, vol. 20(4), pages 257-265.
  3. Duan, Naihua, et al, 1984. "Choosing between the Sample-Selection Model and the Multi-part Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(3), pages 283-89, July.
  4. Cawley, John, 2008. "Contingent valuation analysis of willingness to pay to reduce childhood obesity," Economics & Human Biology, Elsevier, vol. 6(2), pages 281-292, July.
  5. Smith, Richard D., 2005. "Sensitivity to scale in contingent valuation: the importance of the budget constraint," Journal of Health Economics, Elsevier, vol. 24(3), pages 515-529, May.
  6. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
  7. Kenkel, D.S., 1988. "Health Behavior, Health Knowledge, And Schooling," Papers 10-88-3, Pennsylvania State - Department of Economics.
  8. Stewart, Jennifer M. & O'Shea, Eamon & Donaldson, Cam & Shackley, Phil, 2002. "Do ordering effects matter in willingness-to-pay studies of health care?," Journal of Health Economics, Elsevier, vol. 21(4), pages 585-599, July.
  9. Mark L. Messonnier & John C. Bergstrom & Christopher M. Cornwell & R. Jeff Teasley & H. Ken Cordell, 2000. "Survey Response-Related Biases in Contingent Valuation: Concepts, Remedies, and Empirical Application to Valuing Aquatic Plant Management," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(2), pages 438-450.
  10. Werner, Megan, 1999. "Allowing for Zeros in Dichotomous-Choice Contingent-Valuation Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(4), pages 479-86, October.
  11. Jin-Tan Liu & James K. Hammitt & Jung-Der Wang & Meng-Wen Tsou, 2003. "Valuation of the Risk of SARS in Taiwan," NBER Working Papers 10011, National Bureau of Economic Research, Inc.
  12. Seung-Hoon Yoo & Hee-Jong Yang, 2001. "Application of Sample Selection Model to Double-Bounded Dichotomous Choice Contingent Valuation Studies," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 20(2), pages 147-163, October.
  13. Rodolfo Nayga, 2001. "Effect of Schooling on Obesity: Is Health Knowledge a Moderating Factor?," Education Economics, Taylor & Francis Journals, vol. 9(2), pages 129-137.
  14. Whynes, David K. & Frew, Emma & Wolstenholme, Jane L., 2003. "A comparison of two methods for eliciting contingent valuations of colorectal cancer screening," Journal of Health Economics, Elsevier, vol. 22(4), pages 555-574, July.
  15. Hammitt, James K & Graham, John D, 1999. "Willingness to Pay for Health Protection: Inadequate Sensitivity to Probability?," Journal of Risk and Uncertainty, Springer, vol. 18(1), pages 33-62, April.
  16. James Murphy & P. Allen & Thomas Stevens & Darryl Weatherhead, 2005. "A Meta-analysis of Hypothetical Bias in Stated Preference Valuation," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 30(3), pages 313-325, 03.
  17. 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.
  18. Rodolfo Nayga, 2000. "Schooling, health knowledge and obesity," Applied Economics, Taylor & Francis Journals, vol. 32(7), pages 815-822.
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