IDEAS home Printed from https://ideas.repec.org/f/pwi493.html
   My authors  Follow this author

Brett Williams

Personal Details

First Name:Brett
Middle Name:
Last Name:Williams
Suffix:
RePEc Short-ID:pwi493
[This author has chosen not to make the email address public]
http://bewilliams.sites.ucsc.edu
Terminal Degree:2022 Economics Department; University of California-Santa Cruz (UCSC) (from RePEc Genealogy)

Affiliation

Economics Department
University of California-Santa Cruz (UCSC)

Santa Cruz, California (United States)
http://econ.ucsc.edu/
RePEc:edi:ecucsus (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Brett Williams, 2023. "Violations of first-order stochastic dominance," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 9(2), pages 239-251, December.
  2. Friedman, Daniel & Habib, Sameh & James, Duncan & Williams, Brett, 2022. "Varieties of risk preference elicitation," Games and Economic Behavior, Elsevier, vol. 133(C), pages 58-76.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Friedman, Daniel & Habib, Sameh & James, Duncan & Williams, Brett, 2022. "Varieties of risk preference elicitation," Games and Economic Behavior, Elsevier, vol. 133(C), pages 58-76.

    Cited by:

    1. Brice Corgnet & Roberto Hernán González, 2023. "On The Appeal Of Complexity," Working Papers 2312, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    2. Segovia, Michelle & Palma, Marco & Lusk, Jayson L. & Drichoutis, Andreas, 2022. "Visual formats in risk preference elicitation: What catches the eye?," MPRA Paper 115572, University Library of Munich, Germany.
    3. Mikhail Freer & Daniel Friedman & Simon Weidenholzer, 2023. "Motives for Delegating Financial Decisions," Papers 2309.03419, arXiv.org, revised Apr 2024.
    4. Gary Charness & Nir Chemaya & Dario Trujano-Ochoa, 2023. "Learning your own risk preferences," Journal of Risk and Uncertainty, Springer, vol. 67(1), pages 1-19, August.
    5. Michele Garagnani, 2023. "The predictive power of risk elicitation tasks," Journal of Risk and Uncertainty, Springer, vol. 67(2), pages 165-192, October.
    6. Jacob K Goeree & Bernardo Garcia-Pola, 2023. "A Non-Parametric Test of Risk Aversion," Papers 2308.02083, arXiv.org.
    7. Beşliu, Corina, 2022. "Complexity in insurance selection: Cross-classified multilevel analysis of experimental data," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
    8. Fidanoski, Filip & Johnson, Timothy, 2023. "A z-Tree implementation of the Dynamic Experiments for Estimating Preferences [DEEP] method," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Brett Williams should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

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

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.