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  1. Trading information goods on a network: an experiment
    Erschienen: December 2021
    Verlag:  The Institute of Social and Economic Research, Osaka University, Osaka, Japan

    We experimentally examine the impact of a cycle path on the trading of a copyable information good in networks. A cycle path in a network permits a buyer to become a reseller that can compete against existing sellers by replicating the good. Theory... mehr

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 198
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    We experimentally examine the impact of a cycle path on the trading of a copyable information good in networks. A cycle path in a network permits a buyer to become a reseller that can compete against existing sellers by replicating the good. Theory predicts that the price of the information good, even with the first transaction where there is not yet a reseller competing with the original seller, will be lower in networks with a cycle path than otherwise. However, our experiment reveals that the observed price for the first transaction is significantly higher in networks with a cycle path.

     

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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/248610
    Schriftenreihe: Discussion paper / [The Institute of Social and Economic Research] ; no. 1151
    Schlagworte: Information good; Network
    Umfang: 1 Online-Ressource (circa 76 Seiten), Illustrationen
  2. The effect of framing in sealed-bid auctions
    theory and experiments
    Erschienen: [2023]
    Verlag:  Center for Advanced Research in Finance, [Tokyo]

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    VS 818
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Auflage/Ausgabe: This Version: August 24, 2023
    Schriftenreihe: Array ; CARF-F-567
    Schlagworte: Sealed-Bid Auctions; Hypothetical Thinking; Cautious Undominance; Frames; Online and Laboratory Experiments
    Umfang: 1 Online-Ressource (circa 66 Seiten), Illustrationen
  3. Nonparametric learning rules from bandit experiments
    the eyes have it!
    Erschienen: 2010
    Verlag:  Johns Hopkins Univ., Dep. of Economics, Baltimore, Md.

    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... mehr

    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 143 (560)
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    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. -- Learning ; experiments ; eye-tracking ; Bayesian vs. non-Bayesian learning ; nonparametric estimation

     

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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/49877
    Schriftenreihe: Working papers / the Johns Hopkins University, Department of Economics ; 560
    Schlagworte: Schätztheorie; Lernen; Nichtparametrisches Verfahren; Simulation; Dynamische Wirtschaftstheorie
    Umfang: Online-Ressource (38 S.), graph. Darst.
  4. Nonparametric learning rules from bandit experiments
    the eyes have it!
    Erschienen: 2010
    Verlag:  Centre for Microdata Methods and Practice, London

    We estimate nonparametric learning rules using data from dynamic two-armed bandit (probabilistic reversal learning) experiments, supplemented with auxiliary eye-movement measures of subjects' beliefs. We apply recent econometric developments in the... mehr

    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 243 (2010,15)
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    We estimate nonparametric learning rules using data from dynamic two-armed bandit (probabilistic reversal learning) experiments, supplemented with auxiliary eye-movement measures of subjects' beliefs. We apply recent econometric developments in the estimation of dynamic models. The direct estimation of learning rules differs from the usual modus operandi of the experimental literature. The estimated choice probabilities and learning rules from our nonparametric models have some distinctive features; notably that subjects tend to update in a non-smooth manner following positive "exploitative" choices (those made in accordance with current beliefs). Simulation results show how the estimated nonparametric learning rules fit aspects of subjects' observed choice sequences better than lternative parameterized learning rules from Bayesian and reinforcement learning models.

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Hinweise zum Inhalt
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/64791
    Schriftenreihe: Cemmap working paper / Centre for Microdata Methods and Practice ; 15/10
    Schlagworte: Schätztheorie; Lernen; Nichtparametrisches Verfahren; Simulation; Dynamische Wirtschaftstheorie
    Umfang: Online-Ressource (PDF-Datei: 37 S.), graph. Darst.