All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Estimating subjective poverty lines with discrete information

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378025%3A_____%2F20%3A00532877" target="_blank" >RIV/68378025:_____/20:00532877 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.econlet.2020.109545" target="_blank" >https://doi.org/10.1016/j.econlet.2020.109545</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.econlet.2020.109545" target="_blank" >10.1016/j.econlet.2020.109545</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Estimating subjective poverty lines with discrete information

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

    <a href="/en/project/GA18-07036S" target="_blank" >GA18-07036S: Methodology and reality of poverty: Czech Republic in the European context</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Economics Letters

  • ISSN

    0165-1765

  • e-ISSN

  • Volume of the periodical

    196

  • Issue of the periodical within the volume

    November

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    4

  • Pages from-to

    109545

  • UT code for WoS article

    000582215500029

  • EID of the result in the Scopus database

    2-s2.0-85091560216