Non-Linear Mixed Logit

Steffen Andersen, Glenn W. Harrison, Arne Risa Hole, E. Elisabet Rutström

Research output: Working paperResearch

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.
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.
LanguageEnglish
Place of PublicationFrederiksberg
PublisherDepartment of Economics, Copenhagen Business School
Number of pages19
StatePublished - 2010
SeriesWorking Paper / Department of Economics. Copenhagen Business School
Number4-2010

Cite this

Andersen, S., Harrison, G. W., Hole, A. R., & Rutström, E. E. (2010). Non-Linear Mixed Logit. Frederiksberg: Department of Economics, Copenhagen Business School. Working Paper / Department of Economics. Copenhagen Business School, No. 4-2010
Andersen, Steffen ; Harrison, Glenn W. ; Hole, Arne Risa ; Rutström, E. Elisabet. / Non-Linear Mixed Logit. Frederiksberg : Department of Economics, Copenhagen Business School, 2010. (Working Paper / Department of Economics. Copenhagen Business School; No. 4-2010).
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Andersen, S, Harrison, GW, Hole, AR & Rutström, EE 2010 'Non-Linear Mixed Logit' Department of Economics, Copenhagen Business School, Frederiksberg.

Non-Linear Mixed Logit. / Andersen, Steffen; Harrison, Glenn W.; Hole, Arne Risa; Rutström, E. Elisabet.

Frederiksberg : Department of Economics, Copenhagen Business School, 2010.

Research output: Working paperResearch

TY - UNPB

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AU - Rutström,E. Elisabet

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N2 - 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.

AB - 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.

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PB - Department of Economics, Copenhagen Business School

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Andersen S, Harrison GW, Hole AR, Rutström EE. Non-Linear Mixed Logit. Frederiksberg: Department of Economics, Copenhagen Business School. 2010.