Learning and Drop Out in Contests: An Experimental Approach

Francesco Fallucchi, Jan Niederreiter, Massimo Riccaboni

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    Abstract

    We design an experiment to study investment behavior in different repeated contest settings, varying the uncertainty of the outcomes and the number of participants in contests. We find decreasing over-expenditures and a higher rate of ‘drop out’ in contests with high uncertainty over outcomes (winner-take-all contests), while we detect a quick convergence towards equilibrium predictions and a near to full participation when this type of uncertainty vanishes (proportional-prize contests). These results are robust to changes in the number of contestants. A learning parameter estimation using the experience-weighted attraction (EWA) model suggests that subjects adopt different learning modes across different contest structures and helps to explain expenditure patterns deviating from theoretical predictions.
    Original languageEnglish
    Pages (from-to)245-278
    Number of pages34
    JournalTheory and Decision
    Volume90
    Issue number2
    Early online date6 Nov 2020
    DOIs
    Publication statusPublished - Mar 2021

    Keywords

    • Learning
    • Dropout
    • Experiment
    • Context
    • Experience-weighted attraction

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