Advanced Search
MyIDEAS: Login to save this article or follow this journal

Risk Perception, Ambiguity, and Nuclear-Waste Transport


Author Info

  • Mary Riddel

    (Economics Department, Box 6005, University of Nevada, Las Vegas, NV 89154, USA)


Although ambiguity has received ample attention in the theoretical expected-utility literature, measures of ambiguity are rare. Here, I present a framework for eliciting and estimating risk and ambiguity simultaneously using a risk ladder. The model, based on a variant of the induced-distribution approach of Hill, Perry, and Willis (2007, Estimating Knightian uncertainty with survival probability questions on the HRS, unpublished paper, University of Michigan), allows me to estimate risk and ambiguity jointly and derive the correlation between the two. The approach allows for heterogeneity and measurement error in the perceived risk distribution. I apply the model to data from a survey of perceived mortality risk from transporting radioactive waste to the proposed Yucca Mountain facility. The data suggest that the public perceives transport risk well in excess of that estimated by the U.S. Department of Energy. Moreover, the perceived risks are highly ambiguous. The success (and cost) of transport plans may hinge on planners’ ability to reassure and educate the public about the true risks of transport.

Download Info

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Bibliographic Info

Article provided by Southern Economic Association in its journal Southern Economic Journal.

Volume (Year): 75 (2009)
Issue (Month): 3 (January)
Pages: 781–797

as in new window
Handle: RePEc:sej:ancoec:v:75:3:y:2009:p:781-797

Contact details of provider:
Web page:
More information through EDIRC

Related research


Find related papers by JEL classification:


No references listed on IDEAS
You can help add them by filling out this form.


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

Cited by:
  1. Riddel, Mary, 2011. "Uncertainty and measurement error in welfare models for risk changes," Journal of Environmental Economics and Management, Elsevier, vol. 61(3), pages 341-354, May.
  2. Fumihiro Yamane & Kyohei Matsushita & Toshio Fujimi & Hideaki Ohgaki & Kota Asano, 2014. "A Simple Way to Elicit Subjective Ambiguity: Application to Low-dose Radiation Exposure in Fukushima," Discussion Papers 1417, Graduate School of Economics, Kobe University.


This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.


Access and download statistics


When requesting a correction, please mention this item's handle: RePEc:sej:ancoec:v:75:3:y:2009:p:781-797. 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: (Laura Razzolini).

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.