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Research . 2010
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EconStor
Research . 2010
License: CC BY NC ND
Data sources: EconStor
Research Papers in Economics
Preprint . 2010
Data sources: Research Papers in Economics
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Non-Linear Mixed Logit

descriptionPublicationkeyboard_double_arrow_right Research , Preprint 01 Jan 2010 English Publisher:Department of Economics. Copenhagen Business School
Authors: Andersen, Steffen; Harrison, Glenn W.; Hole, Arne Risa; Rutström, Elisabet E.;

handle: 10398/8171 , 10419/208564

Non-Linear Mixed Logit

Abstract

We develop an extension of the familiar linear mixed logit model to allow for the direct estimation of parametric non-linear functions defined over structural parameters. A classic application is the estimation of coefficients of utility functions to characterize risk attitudes. There are several unexpected benefits of this extension, apart from the ability to directly estimate structural parameters of theoretical interest.

Keywords

utility functions, ddc:330, risk attitudes, utility theory, utility functions; risk attitudes; utility theory, C10, jel: jel:C10

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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