A z-Tree implementation of the Dynamic Experiments for Estimating Preferences [DEEP] method

Filip Fidanoski and Timothy Johnson

Journal of Behavioral and Experimental Finance, 2023, vol. 38, issue C

Abstract: Among the myriad preference elicitation methods used in experimental economics and finance, adaptive elicitation methods are a (relatively) recent innovation. Here we present a ready-made and user-friendly z-Tree application for the elicitation of risk- and time-preference parameters from the most prominent adaptive elicitation method, Dynamic Experiments for Estimating Preferences (Toubia et al., 2013). In addition to the software application, we include the code and statistical scripts for data processing when using this method that enables econometric estimation of the individual and aggregate risk- and time-preference parameters.

Keywords: Adaptive methods; Elicitation of preferences; Risk preferences; Time preferences; z-Tree software (search for similar items in EconPapers)
JEL-codes: C88 C90 D81 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:beexfi:v:38:y:2023:i:c:s2214635023000199

DOI: 10.1016/j.jbef.2023.100805

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