Artikel
Corruption and the Desire to Leave Quasi-Experimental Evidence on Corruption as a Driver of Emigration Intentions
Whether and to what extent corruption drives emigration has received growing attention in the literature in recent years, yet the nature of the relationship remains unclear. To test causal claims, we rely on representative global survey data of more than 280,000 respondents across 67 countries from 2010 to 2014. We use two different measures of emigration intentions and individual, as well as country-level measures of corruption, and propose to instrument the endogenous presence of corruption in a country with the prevalence of cashless transactions in the economy to correct for potential estimation bias. We find robust support for the hypothesis that corruption increases emigration intentions across countries. The effect, however, is likely to be underestimated in conventional models that do not account for endogeneity. The results highlight the need to look beyond purely economic, social, security-related, and environmental drivers when assessing the root causes of migration.
- Language
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Englisch
- Bibliographic citation
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Journal: IZA Journal of Development and Migration ; ISSN: 2520-1786 ; Volume: 11 ; Year: 2020 ; Issue: 1 ; Pages: -- ; Warsaw: Sciendo
- Classification
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Wirtschaft
Bureaucracy; Administrative Processes in Public Organizations; Corruption
International Migration
Microeconomic Analyses of Economic Development
Economic Development: Human Resources; Human Development; Income Distribution; Migration
- Subject
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corruption
governance
migration
push factor
emigration intention
- Event
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Geistige Schöpfung
- (who)
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Auer, Daniel
Römer, Friederike
Tjaden, Jasper
- Event
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Veröffentlichung
- (who)
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Sciendo
- (where)
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Warsaw
- (when)
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2020
- DOI
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doi:10.2478/izajodm-2020-0007
- Handle
- Last update
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10.03.2025, 11:43 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Auer, Daniel
- Römer, Friederike
- Tjaden, Jasper
- Sciendo
Time of origin
- 2020