Non-linear mixed logit
AbstractWe 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.
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Bibliographic InfoArticle provided by Springer in its journal Theory and Decision.
Volume (Year): 73 (2012)
Issue (Month): 1 (July)
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Web page: http://www.springerlink.com/link.asp?id=100341
Risk attitudes; Random coefficients; Mixed logit; Lottery choices; Behavioral econometrics; Structural estimation;
Other versions of this item:
- Steffen Andersen & Glenn W. Harrison & Morten Lau & Elisabet E. Rutstroem, 2011. "Non-Linear Mixed Logit," Working Papers 2011_04, Durham University Business School.
- Andersen, Steffen & Harrison, Glenn W. & Hole, Arne Risa & Rutström, Elisabet E., 2010. "Non-Linear Mixed Logit," Working Papers 04-2010, Copenhagen Business School, Department of Economics.
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
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