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SSRN Electronic Journal
Article . 2010 . Peer-reviewed
Data sources: Crossref
Review of Economics and Statistics
Article . 2017 . Peer-reviewed
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SSRN Electronic Journal
Article . 2010 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2010
Data sources: EconStor
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Culture, Institutions and the Wealth of Nations

Authors: Gorodnichenko, Yuriy; Roland, Gerard;

Culture, Institutions and the Wealth of Nations

Abstract

We construct an endogenous growth model that includes a cultural variable along the dimension of individualism-collectivism. The model predicts that more individualism leads to more innovation because of the social rewards associated with innovation in an individualist culture. This cultural effect may offset the negative effects of bad institutions on growth. Collectivism leads to efficiency gains relative to individualism, but these gains are static, unlike the dynamic effect of individualism on growth through innovation. Using genetic data as instruments for culture we provide strong evidence of a causal effect of individualism on income per worker and total factor productivity as well as on innovation. The baseline genetic markers we use are interpreted as proxies for cultural transmission but others have a direct effect on individualism and collectivism, in line with recent advances in biology and neuro-science. The effect of culture on long-run growth remains very robust even after controlling for the effect of institutions and other factors. We also provide evidence of a two-way causal effect between culture and institutions.

Country
United States
Keywords

Welt, growth, Social Sciences, O3, O5, O4, Wachstumstheorie, O1, Kultur, Individualismus, institutions, Innovation, development, Volkseinkommen, Wirtschaftswachstum, ddc:330, culture; growth; institutions, culture, The Wealth of Nations, Institutionalismus, Kollektivismus, jel: jel:P5, jel: jel:O1, jel: jel:O3, jel: jel:O4, jel: jel:O31, jel: jel:O30, jel: jel:O10

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    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    496
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
496
Top 0.1%
Top 1%
Top 1%
Green
bronze