Investigation of the Stochastic Choice under Risk using Experimental Data

Keywords: Stochastic choice, expected utility, rank-dependent expected utility, maximum likelihood, lab experiment, risk

Abstract

This paper extends the analysis of the data from the experiment undertaken by Pradiptyo et al. (2015), to help explain the subjects’ behaviour when making decisions under risk. This study specifically investigates the relative empirical performance of the two general models of the stochastic choice: the random utility model (RUM) and the random preference model (RPM) where this paper specifies these models using two preference functionals, expected utility (EU) and rank-dependent expected utility (RDEU). The parameters are estimated in each model using a maximum likelihood technique and run a horse-race using the goodness-of-fit between the models. The results show that the RUM better explains the subjects’ behaviour in the experiment. Additionally, the RDEU fits better than the EU for modelling the stochastic choice.

References

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Published
2020-08-30
How to Cite
Permana, Y., Empel, G. van, & Pradiptyo, R. (2020). Investigation of the Stochastic Choice under Risk using Experimental Data. Gadjah Mada International Journal of Business, 22(2), 137-150. Retrieved from https://journal.ugm.ac.id/v3/gamaijb/article/view/15728
Section
Articles