Konferenzbeitrag
Towards Comparative and Aggregate Vulnerability: An Analysis of Welfare Distributions in Rural Provinces in Thailand and Vietnam
Several measures of vulnerability to poverty have been suggested in the literature. In practise, only little is known about the robustness of vulnerability comparisons based on these often quite specific measures. The theory of stochastic orders can be applied to shed some light on such issues. In the DFG research project "Impact of Shocks on the Vulnerability to Poverty: Consequences for Development of Emerging Southeast Asian Economies" (DFG FOR 756), an extensive panel survey was carried out in six rural provinces of Thailand and Vietnam in 2007. We establish cumulative distribution functions for income and consumption at the provincial level and search for stochastic dominance relations between these distributions. Our comparisons allow for initial, but quite robust conclusions on welfare and provide benchmarks for assessing the vulnerability to poverty in the research regions.
- Language
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Englisch
- Bibliographic citation
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Series: Proceedings of the German Development Economics Conference, Hannover 2010 ; No. 14
- Classification
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Wirtschaft
Personal Income, Wealth, and Their Distributions
Measurement and Analysis of Poverty
Economic Development: Human Resources; Human Development; Income Distribution; Migration
- Subject
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welfare distribution
stochastic ordering
vulnerability
- Event
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Geistige Schöpfung
- (who)
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Hardeweg, Bernd
Wagener, Andreas
Waibel, Hermann
- Event
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Veröffentlichung
- (who)
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Verein für Socialpolitik, Ausschuss für Entwicklungsländer
- (where)
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Göttingen
- (when)
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2010
- Handle
- Last update
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11.10.2025, 7:25 AM CEST
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
- Konferenzbeitrag
Associated
- Hardeweg, Bernd
- Wagener, Andreas
- Waibel, Hermann
- Verein für Socialpolitik, Ausschuss für Entwicklungsländer
Time of origin
- 2010