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Estimating subjective poverty lines with discrete information

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  • Želinský, Tomáš
  • Ng, Jason Wei Jian
  • Mysíková, Martina

Abstract

This paper proposes a novel methodology for the estimation of subjective poverty lines (SPLs) using a discrete information approach that obviates the potential discomfort of asking respondents directly about the value of their individual SPL. To estimate income SPLs, we utilize the Youden index. Using a simulated data-set, we first show that the level of bias between the estimated SPLs and their corresponding actual values is low. Next, we demonstrate an application of the proposed methodology to the EU-SILC 2018 microdata, utilizing the “ability to make ends meet” indicator as the classification variable. We show that in Western EU countries the values of SPLs with discrete information are typically greater than estimates based on a standard minimum income question. The opposite is true for Eastern EU countries.

Suggested Citation

  • Želinský, Tomáš & Ng, Jason Wei Jian & Mysíková, Martina, 2020. "Estimating subjective poverty lines with discrete information," Economics Letters, Elsevier, vol. 196(C).
    • Handle: RePEc:eee:ecolet:v:196:y:2020:i:c:s0165176520303281
    DOI: 10.1016/j.econlet.2020.109545
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    References listed on IDEAS

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    Cited by:

    1. Tomáš Želinský & Martina Mysíková & Thesia I. Garner, 2022. "Trends in Subjective Income Poverty Rates in the European Union," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(5), pages 2493-2516, October.

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