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How reliable are income data collected with a single question?
Author(s) -
Micklewright John,
Schnepf Sylke V.
Publication year - 2010
Publication title -
journal of the royal statistical society: series a (statistics in society)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.103
H-Index - 84
eISSN - 1467-985X
pISSN - 0964-1998
DOI - 10.1111/j.1467-985x.2009.00632.x
Subject(s) - survey data collection , household income , reliability (semiconductor) , demographic economics , total personal income , income in kind , economics , public economics , actuarial science , geography , statistics , gross income , mathematics , power (physics) , physics , archaeology , tax reform , quantum mechanics , state income tax
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.