Arbeitspapier
To trust or to control: Informal value transfer systems and computational analysis in institutional economics
This paper illustrates the usefulness of computational methods for the investigation of institutions. As an example, we use a computational agent-based model to study the role of general trust and social control in informal value transfer systems (ITVS). We find that, how and in which timeline general trust and social control interact in order to make ITVS work, become stable and highly effective. The case shows how computational models may help (1) to operationalize institutional theory and to clarify the functioning of institutions, (2) to test the logical consistency of alternative hypotheses about institutions, and (3) to relate institutionalist theory with other paradigms and to practice an interested pluralism.
- Sprache
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Englisch
- Erschienen in
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Series: ICAE Working Paper Series ; No. 74
- Klassifikation
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Wirtschaft
Computational Techniques; Simulation Modeling
Noncooperative Games
Institutions: Design, Formation, Operations, and Impact
International Monetary Arrangements and Institutions
Pension Funds; Non-bank Financial Institutions; Financial Instruments; Institutional Investors
- Thema
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agent-based computational economics
evolutionary-institutional economics
informal value transfer systems
general trust
social control
- Ereignis
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Geistige Schöpfung
- (wer)
-
Gräbner, Claudius
Elsner, Wolfram
Lascaux, Alex
- Ereignis
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Veröffentlichung
- (wer)
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Johannes Kepler University Linz, Institute for Comprehensive Analysis of the Economy (ICAE)
- (wo)
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Linz
- (wann)
-
2017
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:45 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Gräbner, Claudius
- Elsner, Wolfram
- Lascaux, Alex
- Johannes Kepler University Linz, Institute for Comprehensive Analysis of the Economy (ICAE)
Entstanden
- 2017