Risk, uncertainty and discrete choice models View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-07-31

AUTHORS

Andre de Palma, Moshe Ben-Akiva, David Brownstone, Charles Holt, Thierry Magnac, Daniel McFadden, Peter Moffatt, Nathalie Picard, Kenneth Train, Peter Wakker, Joan Walker

ABSTRACT

This paper examines the cross-fertilizations of random utility models with the study of decision making under risk and uncertainty. We start with a description of the expected utility (EU) theory and then consider deviations from the standard EU frameworks, involving the Allais paradox and the Ellsberg paradox, inter alia. We then discuss how the resulting non-EU framework can be modeled and estimated within the framework of discrete choices in static and dynamic contexts. Our objectives in addressing risk and ambiguity in individual choice contexts are to understand the decision choice process and to use behavioral information for prediction, prescription, and policy analysis. More... »

PAGES

269-285

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11002-008-9047-0

DOI

http://dx.doi.org/10.1007/s11002-008-9047-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1048317863


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197 grid-institutes:grid.47840.3f schema:alternateName University of California, Berkeley, CA, USA
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200 grid-institutes:grid.507676.5 schema:alternateName Université de Cergy-Pontoise, 33, boulevard du Port, 95011, Cergy-Pontoise Cedex, France
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203 grid-institutes:grid.6906.9 schema:alternateName Erasmus University, Rotterdam, The Netherlands
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206 grid-institutes:grid.8273.e schema:alternateName University of East Anglia, Norwich, Norfolk, UK
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