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Displaying results 1 to 4 of 4.

  1. Is less really more?
    asymmetries in peer effects for binary outcomes
    Published: [2024]
    Publisher:  [Centre de recherche en économie et management], [Rennes]

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    VS 613
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Working paper / Centre de recherche en économie et management, UMR 6211 ; WP 2024, 05 (June 2024)
    Subjects: peer effects; asymmetry; social norm; binary outcome; rational expectations
    Scope: 1 Online-Ressource (circa 45 Seiten), Illustrationen
  2. Price and quantity competition in a hotelling linear market model with network connectivity
    Published: December 2024
    Publisher:  School of Economics, Kwansei Gakuin University, Nishinomiya, Japan

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    Language: English
    Media type: Book
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    Series: Discussion paper series / [School of Economics, Kwansei Gakuin University] ; no. 283
    Subjects: Hotelling linear market model; Bertrand competition; Cournot competition; network connectivity; fulfilled expectations; rational expectations
    Scope: 1 Online-Ressource (circa 29 Seiten), Illustrationen
  3. Spooky boundaries at a distance
    inductive bias, dynamic models, and behavioral macro
    Published: August 2024
    Publisher:  CESifo, Munich, Germany

    In the long run, we are all dead. Nonetheless, when studying the short-run dynamics of economic models, it is crucial to consider boundary conditions that govern long-run, forward-looking behavior, such as transversality conditions. We demonstrate... more

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    In the long run, we are all dead. Nonetheless, when studying the short-run dynamics of economic models, it is crucial to consider boundary conditions that govern long-run, forward-looking behavior, such as transversality conditions. We demonstrate that machine learning (ML) can automatically satisfy these conditions due to its inherent inductive bias toward finding flat solutions to functional equations. This characteristic enables ML algorithms to solve for transition dynamics, ensuring that long-run boundary conditions are approximately met. ML can even select the correct equilibria in cases of steady-state multiplicity. Additionally, the inductive bias provides a foundation for modeling forward-looking behavioural agents with self-consistent expectations.

     

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/305534
    Series: CESifo working papers ; 11292 (2024)
    Subjects: machine learning; inductive bias; rational expectations; transitional dynamics; transversality; behavioural macroeconomics
    Scope: 1 Online-Ressource (circa 45 Seiten), Illustrationen
  4. Spooky boundaries at a distance
    inductive bias, dynamic models, and behavioral macro
    Published: August 12, 2024
    Publisher:  Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, Philadelphia, PA

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: PIER working paper ; 24, 019
    Subjects: Machine learning; inductive bias; rational expectations; transitional dynamics; transversality; behavioral macroeconomics
    Scope: 1 Online-Ressource (circa 44 Seiten), Illustrationen