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In or out? Poverty dynamics among older individuals in the UK – ERRATUM

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  • KANABAR, RICKY

Abstract

Using the largest household panel survey Understanding Society, this paper investigates low-income dynamics among pensioner households in the UK controlling for biases due to initial conditions and non-random survey attrition. Estimation results indicate there is a correlation between initial and conditional poverty status, specifically, there is regression towards the mean. The results find no evidence of a correlation between initial poverty status, conditional poverty status and survey attrition. The findings show the importance of benefit income in determining poverty status, suggesting that a dichotomous measure such as poverty status may not suitably reflect actual pensioner living standards. Aside from benefit income, receipt of employer and occupational pension, health, education and subjective financial situation are important in determining initial and conditional poverty status. Stylised examples highlight the significant differences in the ‘poverty experience’ which arise due to differences individual and household characteristics.
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  • Kanabar, Ricky, 2018. "In or out? Poverty dynamics among older individuals in the UK – ERRATUM," Journal of Pension Economics and Finance, Cambridge University Press, vol. 17(1), pages 128-128, January.
  • Handle: RePEc:cup:jpenef:v:17:y:2018:i:01:p:128-128_00
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    Cited by:

    1. Prieto Suarez, Joaquin, 2023. "Degrees of vulnerability to poverty: a low-income dynamics approach for Chile," LSE Research Online Documents on Economics 121993, London School of Economics and Political Science, LSE Library.
    2. Joaquín Prieto, 2024. "Degrees of vulnerability to poverty: A low-income dynamics approach for Chile," Working Papers 666, ECINEQ, Society for the Study of Economic Inequality.
    3. Kanabar, Ricky & Nandi, Alita & Perez, Victor, 2018. "Low income dynamics among ethnic minorities in Great Britain," ISER Working Paper Series 2018-06, Institute for Social and Economic Research.
    4. Paul Fisher & Omar Hussein, 2023. "Understanding Society: the income data," Fiscal Studies, John Wiley & Sons, vol. 44(4), pages 377-397, December.
    5. Magali Duque & Abigail McKnight, 2019. "Understanding the relationship between inequalities and poverty: a review of dynamic mechanisms," CASE Papers /217, Centre for Analysis of Social Exclusion, LSE.
    6. repec:ehl:lserod:121085 is not listed on IDEAS
    7. Duque, Magali & Mcknight, Abigail, 2019. "Understanding the relationship between inequalities and poverty: a review of dynamic mechanisms," LSE Research Online Documents on Economics 103457, London School of Economics and Political Science, LSE Library.
    8. Joaquín Prieto, 2024. "Degrees of vulnerability to poverty: a low-income dynamics approach for Chile," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 22(4), pages 1069-1107, December.

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