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Non-linear mixed logit
Non-linear mixed logit
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- Andersen, Steffen (författare)
- Department of Economics, Copenhagen Business School, Copenhagen, Denmark
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- Harrison, Glenn W. (författare)
- Department of Risk Management and Insurance and CEAR, Robinson College of Business, Georgia State University, Atlanta GA, United States
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- Hole, Arne Risa (författare)
- Department of Economics, University of Sheffield, Sheffield, United Kingdom
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- Lau, Morten I. (författare)
- Durham Business School, Durham University, Durham, United Kingdom
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- Rutström, Elisabet, 1955- (författare)
- Department of Economics, Andrew Young School of Policy Studies, Georgia State University, Atlanta GA, United States
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(creator_code:org_t)
- 2011-07-14
- 2012
- Engelska.
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Ingår i: Theory and Decision. - : Springer Nature. - 0040-5833 .- 1573-7187. ; 73:1, s. 77-96
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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. Classic applications include the estimation of coefficients of utility functions to characterize risk attitudes and discounting functions to characterize impatience. There are several unexpected benefits of this extension, apart from the ability to directly estimate structural parameters of theoretical interest.
Ämnesord
- SAMHÄLLSVETENSKAP -- Ekonomi och näringsliv (hsv//swe)
- SOCIAL SCIENCES -- Economics and Business (hsv//eng)
Nyckelord
- Behavioral econometrics
- Lottery choices
- Mixed logit
- Random coefficients
- Risk attitudes
- Structural estimation
- Risk attitude
- Estimation
- Functions
- Mathematical models
- Risk perception
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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