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Titel
Frame-of-reference bias in subjective welfare regressions / Kathleen Beegle; Kristen Himelein; Martin Ravallion
VerfasserBeegle, Kathleen In der Gemeinsamen Normdatei der DNB nachschlagen In Wikipedia suchen nach Kathleen Beegle ; Himelein, Kristen In Wikipedia suchen nach Kristen Himelein ; Ravallion, Martin In der Gemeinsamen Normdatei der DNB nachschlagen In Wikipedia suchen nach Martin Ravallion
ErschienenWashington, DC : World Bank, Development Research Group, Poverty Team, 2009 ; Halle (Saale) : Universitäts- und Landesbibliothek Sachsen-Anhalt, 2009
AnbieterHalle (Saale) : Universitäts- und Landesbibliothek Sachsen-Anhalt
UmfangOnline-Ressource (Text, 34 S., 607 kB) : graph. Darst.
Anmerkung
Literaturverz. S. 33 - 34
SpracheEnglisch
SeriePolicy research working paper ; 4904
DokumenttypE-Book
SchlagwörterOnline-Publikation In Wikipedia suchen nach Online-Publikation
URL
URNurn:nbn:de:gbv:3:5-47943 Persistent Identifier (URN)
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Frame-of-reference bias in subjective welfare regressions [0.59 mb]
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"Past research has found that subjective questions about an individuals' economic status do not correspond closely to measures of economic welfare based on household income or consumption. Survey respondents undoubtedly hold diverse ideas about what it means to be "poor" or "rich." Further, this heterogeneity may be correlated with other characteristics, including welfare, leading to frame-of-reference bias. To test for this bias, vignettes were added to a nationally representative survey of Tajikistan, in which survey respondents rank the economic status of the theoretical vignette households, as well as their own. The vignette rankings are used to reveal the respondent's own scale. The findings indicate that respondents hold diverse scales in assessing their welfare, but that there is little bias in either the economic gradient of subjective welfare or most other coefficients on covariates of interest. These results provide a firmer foundation for standard survey methods and regression specifications for subjective welfare data. "--World Bank web site