How reliable are income data collected with a single question
Income is an important correlate for numerous phenomena in the social sciences. But many surveys collect data with just a single question covering all forms of income. This raises questions over the reliability of the data that are collected. Issues of reliability are heightened when individuals are...
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Published in | Journal of the Royal Statistical Society. Series A, Statistics in society Vol. 173; no. 2; pp. 409 - 429 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Oxford, UK : Blackwell Publishing Ltd
01.04.2010
Blackwell Publishing Ltd Blackwell Publishing Blackwell Royal Statistical Society Oxford University Press |
Series | Journal of the Royal Statistical Society Series A |
Subjects | |
Online Access | Get full text |
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Summary: | Income is an important correlate for numerous phenomena in the social sciences. But many surveys collect data with just a single question covering all forms of income. This raises questions over the reliability of the data that are collected. Issues of reliability are heightened when individuals are asked about the household total rather than own income alone. We argue that the large literature on measuring incomes has not devoted enough attention to 'single-question' surveys. We investigate the reliability of single-question data by using the UK Office for National Statistics's Omnibus survey and the British Social Attitudes survey as examples. We compare the distributions of income in these surveys--individual income in the Omnibus and household income in the British Social Attitudes survey--with those in two larger UK surveys that measure income in much greater detail. Distributions compare less well for household income than for individual income. Disaggregation by gender proves fruitful in much of the analysis. We also establish levels of item non-response to the income question in single-question surveys from a wide range of countries. |
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Bibliography: | http://dx.doi.org/10.1111/j.1467-985X.2009.00632.x ArticleID:RSSA632 ark:/67375/WNG-KRGH7VNV-G istex:4A3868C12CB36CF623CBDF86E6E5954BBB3979A9 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0964-1998 1467-985X |
DOI: | 10.1111/j.1467-985X.2009.00632.x |