Details
| Original language | English |
|---|---|
| Pages (from-to) | 53-65 |
| Number of pages | 13 |
| Journal | Journal of Asian Economics |
| Volume | 25 |
| Early online date | 24 Feb 2013 |
| Publication status | Published - Apr 2013 |
Abstract
Vulnerability to poverty is an important social indicator of well-being. Yet, comparisons of vulnerability over time or space lack robustness as long as they are based on single measures or use specific poverty lines. We demonstrate that a distributional analysis, based on stochastic dominance orders, can help. Using data from six rural provinces of Thailand and Vietnam, we establish cumulative distribution functions for income and consumption at the provincial level and show how they can provide ethically robust vulnerability comparisons.
Keywords
- Stochastic dominance orders, Thailand, Vietnam, Vulnerability
ASJC Scopus subject areas
- Economics, Econometrics and Finance(all)
- Finance
- Economics, Econometrics and Finance(all)
- Economics and Econometrics
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In: Journal of Asian Economics, Vol. 25, 04.2013, p. 53-65.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - A distributional approach to comparing vulnerability, applied to rural provinces in Thailand and Vietnam
AU - Hardeweg, Bernd
AU - Wagener, Andreas
AU - Waibel, Hermann
N1 - Funding Information: This study is part of the project “Impact of Shocks on the Vulnerability to Poverty: Consequences for Development of Emerging Southeast Asian Economies”, sponsored by Deutsche Forschungsgemeinschaft (German Research Council; DFG FOR 756). We are grateful to conference participants in Kiel and Hamburg for comments and disucssion. We thank Kyosuke Kurita and Takashi Kurosaki for sharing their data with us. The editor, Michael G. Plummer, and three anonymous reviewers provided helpful suggestions and criticism, which helped to improve the paper.
PY - 2013/4
Y1 - 2013/4
N2 - Vulnerability to poverty is an important social indicator of well-being. Yet, comparisons of vulnerability over time or space lack robustness as long as they are based on single measures or use specific poverty lines. We demonstrate that a distributional analysis, based on stochastic dominance orders, can help. Using data from six rural provinces of Thailand and Vietnam, we establish cumulative distribution functions for income and consumption at the provincial level and show how they can provide ethically robust vulnerability comparisons.
AB - Vulnerability to poverty is an important social indicator of well-being. Yet, comparisons of vulnerability over time or space lack robustness as long as they are based on single measures or use specific poverty lines. We demonstrate that a distributional analysis, based on stochastic dominance orders, can help. Using data from six rural provinces of Thailand and Vietnam, we establish cumulative distribution functions for income and consumption at the provincial level and show how they can provide ethically robust vulnerability comparisons.
KW - Stochastic dominance orders
KW - Thailand
KW - Vietnam
KW - Vulnerability
UR - http://www.scopus.com/inward/record.url?scp=84875238885&partnerID=8YFLogxK
U2 - 10.1016/j.asieco.2013.02.004
DO - 10.1016/j.asieco.2013.02.004
M3 - Article
AN - SCOPUS:84875238885
VL - 25
SP - 53
EP - 65
JO - Journal of Asian Economics
JF - Journal of Asian Economics
SN - 1049-0078
ER -