IDEAS home Printed from https://ideas.repec.org/a/ags/joaaec/56657.html
   My bibliography  Save this article

A Comparison of Actual and Hypothetical Willingness to Pay of Parents and Non-Parents for Protecting Infant Health: The Case of Nitrates in Drinking Water

Author

Listed:
  • Loomis, John B.
  • Bell, Paul
  • Cooney, Helen
  • Asmus, Cheryl

Abstract

We estimate adults’ willingness to pay (WTP) to reduce health risks to their own or other families’ infants to test for altruism. A conjoint analysis of adults paying for bottled water found marginal WTP for reduction in risk of shock, brain damage, and mortality in the cash treatment of $2, $3.70, and $9.43, respectively. In the hypothetical market these amounts were $14, $26, and $66, indicating substantial hypothetical bias, although not unexpected due to the topic of infant health. Statistical tests confirm a high degree of altruism in our WTP results, and altruism held even when real money was involved.

Suggested Citation

  • Loomis, John B. & Bell, Paul & Cooney, Helen & Asmus, Cheryl, 2009. "A Comparison of Actual and Hypothetical Willingness to Pay of Parents and Non-Parents for Protecting Infant Health: The Case of Nitrates in Drinking Water," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 41(3), pages 1-15, December.
  • Handle: RePEc:ags:joaaec:56657
    DOI: 10.22004/ag.econ.56657
    as

    Download full text from publisher

    File URL: http://ageconsearch.umn.edu/record/56657/files/jaae204.pdf
    Download Restriction: no

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kanya, Lucy & Saghera, Sabina & Lewin, Alex & Fox-Rushby, Julia, 2019. "The criterion validity of willingness to pay methods: a systematic review and meta-analysis of the evidence," LSE Research Online Documents on Economics 100741, London School of Economics and Political Science, LSE Library.
    2. Niedermayr, A. & Schaller, L. & Kieninger, P. & Kantelhardt, J., 2018. "Integrating soil and climate-related aspects into the valuation of willingness to pay for public goods provided by agriculture in an intensive agricultural production region: The case of the Marchfeld," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276963, International Association of Agricultural Economists.
    3. repec:gam:jsusta:v:10:y:2018:i:6:p:2061-:d:153030 is not listed on IDEAS
    4. William Desvousges & Kristy Mathews & Kenneth Train, 2016. "From Curious to Pragmatically Curious: Comment on "From Hopeless to Curious? Thoughts on Hausman's "Dubious to Hopeless" Critique of Contingent Valuation"," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 38(1), pages 174-182.
    5. repec:eee:indorg:v:55:y:2017:i:c:p:1-24 is not listed on IDEAS
    6. Ritten, Chian Jones & Breunig, Ian M., 2013. "Willingness to Pay for Programs for the Human Papillomavirus Vaccine on a Rocky Mountain West College Campus," Western Economics Forum, Western Agricultural Economics Association, vol. 12(1), pages 1-15.
    7. Mørkbak, Morten Raun & Olsen, Søren Bøye & Campbell, Danny, 2014. "Behavioral implications of providing real incentives in stated choice experiments," Journal of Economic Psychology, Elsevier, vol. 45(C), pages 102-116.
    8. Azucena Gracia, 2014. "Consumers’ preferences for a local food product: a real choice experiment," Empirical Economics, Springer, vol. 47(1), pages 111-128, August.
    9. Mohammed H. Alemu & Søren B. Olsen, 2017. "Can a Repeated Opt-Out Reminder remove hypothetical bias in discrete choice experiments? An application to consumer valuation of novel food products," IFRO Working Paper 2017/05, University of Copenhagen, Department of Food and Resource Economics.
    10. John B. Loomis, 2013. "Incorporating distributional issues into benefit–cost analysis: why, how, and two empirical examples using non-market valuation," Chapters,in: Principles and Standards for Benefit–Cost Analysis, chapter 9, pages 294-316 Edward Elgar Publishing.

    More about this item

    Keywords

    Agricultural and Food Policy; Consumer/Household Economics; Food Consumption/Nutrition/Food Safety; Health Economics and Policy; Institutional and Behavioral Economics;

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:joaaec:56657. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/saeaaea.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.