Non-linear mixed logit

被引：28

作者：

Andersen, Steffen ^{[3
]}

Harrison, Glenn W. ^{[1
,2
]}

Hole, Arne Risa ^{[4
]}

Lau, Morten ^{[5
]}

Rutstroem, E. Elisabet ^{[6
,7
]}

机构：

[1] Georgia State Univ, Robinson Coll Business, Dept Risk Management & Insurance, Atlanta, GA 30303 USA

[2] Georgia State Univ, Robinson Coll Business, CEAR, Atlanta, GA 30303 USA

[3] Copenhagen Business Sch, Dept Econ, Copenhagen, Denmark

[4] Univ Sheffield, Dept Econ, Sheffield, S Yorkshire, England

[5] Univ Durham, Durham Business Sch, Durham, England

[6] Georgia State Univ, Andrew Young Sch Policy Studies, Robinson Coll Business, Atlanta, GA 30303 USA

[7] Georgia State Univ, Andrew Young Sch Policy Studies, Dept Econ, Atlanta, GA 30303 USA

来源：

THEORY AND DECISION | 2012年 / 73卷 / 01期

关键词：

Risk attitudes; Random coefficients; Mixed logit; Lottery choices; Behavioral econometrics; Structural estimation; MODELS; RISK;

D O I：

10.1007/s11238-011-9277-0

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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.

引用

页码：77 / 96

页数：20

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