The plough, gender roles, and corruption
Abstract Cross-country empirical studies of corruption using ordinary least squares commonly find that nations in which women play a greater role in economic and public life suffer less corruption. This has been a controversial finding since measures of women’s participation in the economy and polit...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Hazarika, Gautam [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Systematik: |
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| Anmerkung: |
© Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
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| Übergeordnetes Werk: |
Enthalten in: Economics of governance - Springer Berlin Heidelberg, 2000, 19(2018), 2 vom: 26. Feb., Seite 141-163 |
|---|---|
| Übergeordnetes Werk: |
volume:19 ; year:2018 ; number:2 ; day:26 ; month:02 ; pages:141-163 |
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| DOI / URN: |
10.1007/s10101-018-0202-7 |
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OLC2069167038 |
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Abstract Cross-country empirical studies of corruption using ordinary least squares commonly find that nations in which women play a greater role in economic and public life suffer less corruption. This has been a controversial finding since measures of women’s participation in the economy and politics are likely endogenous. This study uses an aspect of national ancestral geography as a novel instrumental variable in the estimation of the true causal effects of gender upon corruption. It thereby finds that ordinary least squares estimates of the effects of gender upon corruption are biased. This conclusion is upheld in time-series fixed-effects estimation. © Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
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Abstract Cross-country empirical studies of corruption using ordinary least squares commonly find that nations in which women play a greater role in economic and public life suffer less corruption. This has been a controversial finding since measures of women’s participation in the economy and politics are likely endogenous. This study uses an aspect of national ancestral geography as a novel instrumental variable in the estimation of the true causal effects of gender upon corruption. It thereby finds that ordinary least squares estimates of the effects of gender upon corruption are biased. This conclusion is upheld in time-series fixed-effects estimation. © Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
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Abstract Cross-country empirical studies of corruption using ordinary least squares commonly find that nations in which women play a greater role in economic and public life suffer less corruption. This has been a controversial finding since measures of women’s participation in the economy and politics are likely endogenous. This study uses an aspect of national ancestral geography as a novel instrumental variable in the estimation of the true causal effects of gender upon corruption. It thereby finds that ordinary least squares estimates of the effects of gender upon corruption are biased. This conclusion is upheld in time-series fixed-effects estimation. © Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
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This has been a controversial finding since measures of women’s participation in the economy and politics are likely endogenous. This study uses an aspect of national ancestral geography as a novel instrumental variable in the estimation of the true causal effects of gender upon corruption. It thereby finds that ordinary least squares estimates of the effects of gender upon corruption are biased. This conclusion is upheld in time-series fixed-effects estimation.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Gender</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Corruption</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Gender norms</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Economics of governance</subfield><subfield code="d">Springer Berlin Heidelberg, 2000</subfield><subfield code="g">19(2018), 2 vom: 26. 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