How Reliable are Income Data Collected with a Single Question?

John Micklewright () and Sylke Schnepf

No 09-03, DoQSS Working Papers from Quantitative Social Science - UCL Social Research Institute, University College London

Abstract: 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 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 using the ONS Omnibus survey and British Social Attitudes (BSA) survey as examples. We compare the distributions of income in these surveys – individual income in the Omnibus and household income in the BSA --- 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.

Keywords: income measurement; validity (search for similar items in EconPapers)
JEL-codes: C81 (search for similar items in EconPapers)
Pages: 36 pages
Date: 2009-12-01
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Citations: View citations in EconPapers (1)

Forthcoming in the Journal of the Royal Statistical Society (Series A)

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https://repec.ucl.ac.uk/REPEc/pdf/qsswp0903.pdf (application/pdf)

Related works:
Journal Article: How reliable are income data collected with a single question? (2010)
Working Paper: How Reliable Are Income Data Collected with a Single Question? (2007)
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Persistent link: https://EconPapers.repec.org/RePEc:qss:dqsswp:0903

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