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...

Full description

Saved in:
Bibliographic Details
Published inJournal of the Royal Statistical Society. Series A, Statistics in society Vol. 173; no. 2; pp. 409 - 429
Main Authors Micklewright, John, Schnepf, Sylke V.
Format Journal Article
LanguageEnglish
Published Oxford, UK Oxford, UK : Blackwell Publishing Ltd 01.04.2010
Blackwell Publishing Ltd
Blackwell Publishing
Blackwell
Royal Statistical Society
Oxford University Press
SeriesJournal of the Royal Statistical Society Series A
Subjects
Online AccessGet full text

Cover

Loading…
More Information
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.
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