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

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  • Fidanoski, Filip
  • Johnson, Timothy

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.

Suggested Citation

  • Fidanoski, Filip & Johnson, Timothy, 2023. "A z-Tree implementation of the Dynamic Experiments for Estimating Preferences [DEEP] method," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    • Handle: RePEc:eee:beexfi:v:38:y:2023:i:c:s2214635023000199
    DOI: 10.1016/j.jbef.2023.100805
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Adaptive methods; Elicitation of preferences; Risk preferences; Time preferences; z-Tree software;
    All these keywords.

    JEL classification:

    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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