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  1. Trust and growth
    the global evidence over 40 years
    Author: Roth, Felix
    Published: 2024
    Publisher:  University of Hamburg, Senior Lecturer of International Economics, Hamburg

    This paper analyzes the intertemporal variation of trust on economic growth. Constructing a unique global country panel dataset and applying a system-generalized method of moments (SYSGMM) estimation approach to a sample of 75 global economies over a... more

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    Verlag (kostenfrei)
    Resolving-System (kostenfrei)
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 614
    No inter-library loan

     

    This paper analyzes the intertemporal variation of trust on economic growth. Constructing a unique global country panel dataset and applying a system-generalized method of moments (SYSGMM) estimation approach to a sample of 75 global economies over a 40-year time span (1980-2019), this paper finds evidence of a curvilinear (inverted U-shape) relationship between trust and growth.3 Only a minority of global economies can attain a position close to or above the optimum threshold for trust and growth. Most economies, in fact, fall well below that threshold, and for them, it is incumbent to consider trust-building measures in order to achieve higher growth. In countries that are close to the optimum threshold, however, such policies can likely be neglected. In fact, in countries where trust levels exceed the optimum, an increase in trust might even hamper growth.

     

    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/305221
    Edition: This version: 31 10 2024
    Series: Hamburg discussion paper in international economics ; no. 14
    Subjects: Trust; Growth; Intertemporal Variation; Panel Analysis; Curvilinear (inverted U-shape) Relationship
    Scope: 1 Online-Ressource (circa 57 Seiten), Illustrationen
  2. Reassessing the relationship between trust and growth
    Author: Roth, Felix
    Published: January 2024
    Publisher:  University of Hamburg, Senior Lecturer of International Economics, Hamburg

    This paper analyzes the intertemporal variation of trust on economic growth. Constructing a unique global country panel dataset and applying a system-generalized method of moments (SYSGMM) estimation approach to a sample of 75 market economies over a... more

    Access:
    Verlag (lizenzpflichtig)
    Resolving-System (lizenzpflichtig)
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 614
    No inter-library loan

     

    This paper analyzes the intertemporal variation of trust on economic growth. Constructing a unique global country panel dataset and applying a system-generalized method of moments (SYSGMM) estimation approach to a sample of 75 market economies over a 40-year time span (1980-2019), this paper finds evidence of a causal curvilinear (inverted U-shape) relationship between trust and growth. 2 Thisrelationship corroborates earlier panel data results but challenges findings that posit a general positive relationship between trust and growth. Only a minority of global economies can attain a position close to or above the optimum threshold for trust and growth. Most economies, in fact, fall well below that threshold, and for them, it is incumbent upon their policymakers to consider trust-building measures in order to achieve higher growth. In countries that are close to the optimum threshold, however, such policies can likely be neglected. In fact, in countries where trust levels exceed the optimum, an increase in trust might even hamper growth.

     

    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/280902
    Edition: This version: 07.01.2024
    Series: Hamburg discussion paper in international economics ; no. 14
    Subjects: Trust; Growth; Intertemporal Variation; Panel Analysis; Curvilinear (inverted U-shape) Relationship; Causality
    Scope: 1 Online-Ressource (circa 53 Seiten), Illustrationen
    Notes:

    Datei gelöscht auf Wunsch der Autor:in