Literaturnachweis - Detailanzeige
| Autor/inn/en | Hu, Yingyao; Kayaba, Yutaka; Shum, Matt |
|---|---|
| Titel | Nonparametric learning rules from bandit experiments. The eyes have it! |
| Quelle | Baltimore, Md.: Johns Hopkins Univ., Dep. of Economics (2010), 38 S.
PDF als Volltext kostenfreie Datei |
| Reihe | Working papers / the Johns Hopkins University, Department of Economics. 560 |
| Beigaben | grafische Darstellungen |
| Sprache | englisch |
| Dokumenttyp | online; Monografie; Graue Literatur |
| Schlagwörter | Lernen; Schätztheorie; Arbeitspapier; Dynamisches Modell; Simulation; Verfahren |
| Abstract | How do people learn? We assess, in a distribution-free manner, subjects' learning and choice rules in dynamic two-armed bandit (probabilistic reversal learning) experiments. To aid in identification and estimation, we use auxiliary measures of subjects' beliefs, in the form of their eye-movements during the experiment. Our estimated choice probabilities and learning rules have some distinctive features; notably that subjects tend to update in a non-smooth manner following choices made in accordance with current beliefs. Moreover, the beliefs implied by our nonparametric learning rules are closer to those from a (non-Bayesian) reinforcement learning model, than a Bayesian learning model. |
| Erfasst von | ZBW - Leibniz-Informationszentrum Wirtschaft, Kiel |
| Update | 2011/2 |
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