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  1. Do economic preferences of children predict behavior?
    Autor*in: Breitkopf, Laura; Chowdhury, Shyamal K.; Priyam, Shambhavi; Schildberg-Hörisch, Hannah; Sutter, Matthias
    Erschienen: February 2024
    Verlag:  IZA - Institute of Labor Economics, Bonn, Germany

    We use novel data on nearly 6,000 children and adolescents aged 6 to 16 that combine incentivized measures of social, time, and risk preferences with rich information on child behavior and family environment to study whether children's economic... mehr

    Zugang:
    Verlag (kostenfrei)
    Verlag (kostenfrei)

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 4
    Fernleihe:
    keine Fernleihe

     

    We use novel data on nearly 6,000 children and adolescents aged 6 to 16 that combine incentivized measures of social, time, and risk preferences with rich information on child behavior and family environment to study whether children's economic preferences predict their behavior. Results from standard regression specifications demonstrate the predictive power of children's preferences for their prosociality, educational achievement, risky behaviors, emotional health, and behavioral problems. In a second step, we add information on a family's socio-economic status, family structure, religion, parental preferences and IQ, and parenting style to capture household environment. As a result, the predictive power of preferences for behavior attenuates. We discuss implications of our findings for research on the formation of children's preferences and behavior.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Schriftenreihe: Discussion paper series / IZA ; no. 16834
    Schlagworte: social preferences; time preferences; risk preferences; experiments with children; origins of preferences; human capital; behavior
    Umfang: 1 Online-Ressource (circa 74 Seiten), Illustrationen
  2. Do economic preferences of children predict behavior?
    Autor*in: Breitkopf, Laura; Chowdhury, Shyamal K.; Priyam, Shambhavi; Schildberg-Hörisch, Hannah; Sutter, Matthias
    Erschienen: March 2024
    Verlag:  CESifo, Munich, Germany

    We use novel data on nearly 6,000 children and adolescents aged 6 to 16 that combine incen-tivized measures of social, time, and risk preferences with rich information on child behavior and family environment to study whether children's economic... mehr

    Zugang:
    Verlag (kostenfrei)
    Verlag (kostenfrei)
    Resolving-System (kostenfrei)

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 63
    Fernleihe:
    keine Fernleihe

     

    We use novel data on nearly 6,000 children and adolescents aged 6 to 16 that combine incen-tivized measures of social, time, and risk preferences with rich information on child behavior and family environment to study whether children's economic preferences predict their behavior. Re-sults from standard regression specifications demonstrate the predictive power of children's pref-erences for their prosociality, educational achievement, risky behaviors, emotional health, and behavioral problems. In a second step, we add information on a family's socio-economic status, family structure, religion, parental preferences and IQ, and parenting style to capture household environment. As a result, the predictive power of preferences for behavior attenuates. We discuss implications of our findings for research on the formation of children's preferences and behavior.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/296077
    Schriftenreihe: CESifo working papers ; 10988 (2024)
    Schlagworte: social preferences; time preferences; risk preferences; experiments with children; origins of preferences; human capital; behavior
    Umfang: 1 Online-Ressource (circa 74 Seiten), Illustrationen