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Does How You Measure Income Make a Difference to Measuring Poverty? Evidence from the UK

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  • Kirstine Hansen
  • Dylan Kneale

Abstract

Income is regarded as one of the clearest indicators of socioeconomic status and wellbeing in the developed world and is highly correlated with a wide range of outcomes. Despite its importance, there remains an issue as to the best way to collect income as part of surveys. This paper examines differences in how income is collected in a nationally representative UK birth cohort, the Millennium Cohort Study, looking at variations by questions asked and by respondent characteristics before then examining the implications different methods of collecting and reporting income may have for measuring poverty. Results show that less than a third of respondents give consistent information on income between measurement tools. Using multiple questions is associated with a substantially lower response rate but this method generally results in a higher estimate of family income than using a single question. This is particularly true for certain groups of the population—those on means tested benefits, in self-employment and in part-time employment. Not surprisingly then in our analysis of poverty, using a single question produces an inflated proportion of families who could be classified as living in poverty and is less associated with other measures of financial deprivation than the more conservative poverty measure based on multiple questions. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Kirstine Hansen & Dylan Kneale, 2013. "Does How You Measure Income Make a Difference to Measuring Poverty? Evidence from the UK," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(3), pages 1119-1140, February.
  • Handle: RePEc:spr:soinre:v:110:y:2013:i:3:p:1119-1140
    DOI: 10.1007/s11205-011-9976-5
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    References listed on IDEAS

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    1. John Micklewright & Sylke V. Schnepf, 2010. "How reliable are income data collected with a single question?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(2), pages 409-429, April.
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    8. Claudia Biancotti & Giovanni D'Alessio & Andrea Neri, 2008. "Measurement Error In The Bank Of Italy'S Survey Of Household Income And Wealth," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(3), pages 466-493, September.
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    Cited by:

    1. Lourdes Diaz Olvera & Didier Plat & Pascal Pochet, 2015. "Assessment of mobility inequalities and income data collection. Methodological issues and a case study (Douala, Cameroon)," Post-Print halshs-01205776, HAL.
    2. Omoniyi B Alimi & David C Maré & Jacques Poot, 2020. "The effects of immigration and skills on urban income inequality in New Zealand: two decomposition approaches," RF Berlin - CReAM Discussion Paper Series 2023, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    3. Carlo Drago, 2021. "The Analysis and the Measurement of Poverty: An Interval-Based Composite Indicator Approach," Economies, MDPI, vol. 9(4), pages 1-17, October.
    4. Diaz Olvera, Lourdes & Plat, Didier & Pochet, Pascal, 2015. "Assessment of mobility inequalities and income data collection. Methodological issues and a case study (Douala, Cameroon)," Journal of Transport Geography, Elsevier, vol. 46(C), pages 180-188.
    5. Achille Lemmi & Donatella Grassi & Alessandra Masi & Nicoletta Pannuzi & Andrea Regoli, 2019. "Methodological Choices and Data Quality Issues for Official Poverty Measures: Evidences from Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 299-330, January.
    6. Stefan Angel & Richard Heuberger & Nadja Lamei, 2018. "Differences Between Household Income from Surveys and Registers and How These Affect the Poverty Headcount: Evidence from the Austrian SILC," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(2), pages 575-603, July.
    7. Alimi, Omoniyi & Maré, David C. & Poot, Jacques, 2018. "International Migration and the Distribution of Income in New Zealand Metropolitan and Non-Metropolitan Areas," IZA Discussion Papers 11959, Institute of Labor Economics (IZA).
    8. Qiong Wu & Liping Gu, 2024. "Comparing Single- and Multiple-Question Designs of Measuring Family Income in China Family Panel Studies," Sociological Methods & Research, , vol. 53(2), pages 872-897, May.
    9. Andrea Cutillo & Michele Raitano & Isabella Siciliani, 2022. "Income-Based and Consumption-Based Measurement of Absolute Poverty: Insights from Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 689-710, June.
    10. Lourdes Diaz Olvera & Didier Plat & Pascal Pochet, 2015. "Assessment of mobility inequalities and income data collection. Methodological issues and a case study (Douala, Cameroon) [Evaluation des inégalités de mobilité et recueil des revenus. Questions mé," Post-Print halshs-01235185, HAL.

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