Ready-made oTree apps for time preference elicitation methods

Julia Rose () and Michael Rose

Journal of Behavioral and Experimental Finance, 2019, vol. 23, issue C, 23-28

Abstract: In the realm of time preference elicitation, several different methods to elicit preferences from individual choices and subsequently estimate discounting and utility function parameters have evolved. We provide ready-made oTree (Chen et al., 2016) applications for three of the mostly used elicitation tools in experiments. The first method (CTB — Convex Time Budgets) elicits discounting and utility function curvature jointly from choices over time (Andreoni and Sprenger, 2012; Andreoni et al., 2015). The second method elicits time preferences and utility function curvature using two different tasks and jointly estimating parameters (DMPL — Double Multiple Price List). It is fully nested in our first method and can be complemented via a risk elicitation task by Holzmeister (2017). The third method elicits discounting without eliciting utility (Attema et al., 2016) by measuring discounting without using explicit functional forms for utility. We provide the general theoretical background of the elicitation approaches, experimental designs, as well as a detailed description of our programs. Both programs can be easily and flexibly adapted to the user’s needs, even without any prior programming knowledge in oTree.

Keywords: oTree; Time preference elicitation; Time preferences; Discounting; Experimental economics (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:beexfi:v:23:y:2019:i:c:p:23-28

DOI: 10.1016/j.jbef.2019.04.011

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