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Can subjective questions on economic welfare be trusted? : evidence for three developing countries

Author: Martin Ravallion; Kristen Himelein; Kathleen Beegle; World Bank.; World Bank. Development Research Group. Poverty and Inequality Team.
Publisher: [Washington, D.C.] : World Bank, 2013.
Series: Policy research working papers, 6726.
Edition/Format:   eBook : Document : International government publication : English
Summary:
While self-assessments of welfare have become popular for measuring poverty and estimating welfare effects, the methods can be deceptive given systematic heterogeneity in respondents' scales. Little is known about this problem. This study uses specially-designed surveys in three countries, Tajikistan, Guatemala, and Tanzania, to study scale heterogeneity. Respondents were asked to score stylized vignettes, as well  Read more...
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Material Type: Document, Government publication, International government publication, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Martin Ravallion; Kristen Himelein; Kathleen Beegle; World Bank.; World Bank. Development Research Group. Poverty and Inequality Team.
OCLC Number: 871360854
Notes: "December 2013."
"The World Bank, Development Research Group, Poverty and Inequality Team."
Description: 1 online resource (40 pages).
Series Title: Policy research working papers, 6726.
Other Titles: World Bank e-Library.
Responsibility: Martin Ravallion, Kristen Himelein, Kathleen Beegle.

Abstract:

While self-assessments of welfare have become popular for measuring poverty and estimating welfare effects, the methods can be deceptive given systematic heterogeneity in respondents' scales. Little is known about this problem. This study uses specially-designed surveys in three countries, Tajikistan, Guatemala, and Tanzania, to study scale heterogeneity. Respondents were asked to score stylized vignettes, as well as their own household. Diverse scales are in evidence, casting considerable doubt on the meaning of widely-used summary measures such as subjective poverty rates. Nonetheless, under the identifying assumptions of the study, only small biases are induced in the coefficients on widely-used regressors for subjective poverty and welfare.

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