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Estimation of Subjective (Income) Poverty Lines: Sensitivity-Specificity Curves Approach

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F12%3A10124821" target="_blank" >RIV/00216208:11230/12:10124821 - isvavai.cz</a>

  • Result on the web

    —

  • DOI - Digital Object Identifier

    —

Alternative languages

  • Result language

    angličtina

  • Original language name

    Estimation of Subjective (Income) Poverty Lines: Sensitivity-Specificity Curves Approach

  • Original language description

    Poverty research can be set in subjective or objective terms. According to the subjective approach poverty lines are inherently subjective judgments people make about what is a socially accepted minimum standard of living in a particular society. There exists no single generally acceptable method for estimating subjective poverty lines and the overall level of subjective poverty in society. The paper proposes a methodology for subjective poverty lines estimation, which is based on so called "discrete information". The respondents are not asked directly about the value of their subjective poverty line, but are asked how they perceive their own economic situation and whether they feel poor or not in relation to their incomes. This might lower down theirfeeling of discomfort. The proposed approaches are based on sensitivity and specificity curves. The estimations are illustrated on Slovak EU SILC 2006 - 2008 microdata.

  • Czech name

    —

  • Czech description

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Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AH - Economics

  • OECD FORD branch

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Result continuities

  • Project

    —

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Social Sciences and Society

  • ISBN

    978-1-61275-048-4

  • ISSN

    2160-1070

  • e-ISSN

    —

  • Number of pages

    6

  • Pages from-to

    42-47

  • Publisher name

    Information Engineering Research Institute

  • Place of publication

    Newark, Delaware, USA

  • Event location

    San Diego, CA, USA

  • Event date

    Nov 1, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    —