Estimating subjective poverty lines with discrete information

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Estimating subjective poverty lines with discrete information

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Estimating subjective poverty lines with discrete information

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

<a href="/cs/project/GA18-07036S" target="_blank" >GA18-07036S: Metodologie a realita chudoby: Česká republika v evropském kontextu</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Economics Letters

ISSN

0165-1765

e-ISSN

—

Svazek periodika

196

Číslo periodika v rámci svazku

November

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

4

Strana od-do

109545

Kód UT WoS článku

000582215500029

EID výsledku v databázi Scopus

2-s2.0-85091560216