Theory and Decision

, Volume 73, Issue 1, pp 77–96

Non-linear mixed logit

  • Steffen Andersen
  • Glenn W. Harrison
  • Arne Risa Hole
  • Morten Lau
  • E. Elisabet Rutström

DOI: 10.1007/s11238-011-9277-0

Cite this article as:
Andersen, S., Harrison, G.W., Hole, A.R. et al. Theory Decis (2012) 73: 77. doi:10.1007/s11238-011-9277-0


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.


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

Copyright information

© Springer Science+Business Media, LLC. 2011

Authors and Affiliations

  • Steffen Andersen
    • 1
  • Glenn W. Harrison
    • 2
  • Arne Risa Hole
    • 3
  • Morten Lau
    • 4
  • E. Elisabet Rutström
    • 5
  1. 1.Department of EconomicsCopenhagen Business SchoolCopenhagenDenmark
  2. 2.Department of Risk Management & Insurance and CEAR, Robinson College of BusinessGeorgia State UniversityAtlantaUSA
  3. 3.Department of EconomicsUniversity of SheffieldSheffieldUK
  4. 4.Durham Business SchoolDurham UniversityDurhamUK
  5. 5.Robinson College of Business and Department of Economics, Andrew Young School of Policy StudiesGeorgia State UniversityAtlantaUSA

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