Multilevel Analysis of Factors Underlying in‐Work Poverty: Evidence From Türkiye


Acet Dönmez G., Eriş Dereli B.

POVERTY & PUBLIC POLICY, vol.17, no.2, pp.1-17, 2025 (ESCI)

  • Publication Type: Article / Article
  • Volume: 17 Issue: 2
  • Publication Date: 2025
  • Doi Number: 10.1002/pop4.70009
  • Journal Name: POVERTY & PUBLIC POLICY
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, ABI/INFORM, Agricultural & Environmental Science Database, EconLit, Social services abstracts, Sociological abstracts
  • Page Numbers: pp.1-17
  • Marmara University Affiliated: Yes

Abstract

In‐work poverty is a prevalent phenomenon in many countries and creates significant challenges from various aspects. Thisstudy investigates the underlying factors of in‐work poverty utilizing Türkiye as a case study and using the latest available(2022) microdata from the Survey of Income and Living Conditions (SILC). It first measures the at risk of poverty or socialexclusion rate (AROPE) among the working population, revealing that 22.13% of workers suffer from poverty and there is aconsiderable sectoral variation. Subsequently, the underlying demographic characteristics, along with job‐related and regionalfactors of in‐work poverty, are examined through multilevel logistic regression analysis. Among demographic characteristics,being older and having higher education levels are associated with lower probabilities of in‐work poverty, while householddependency raises this risk. Analyzing the association between in‐work poverty and job characteristics indicates that publicsector employment and social security registration lower the probability of in‐work poverty. Furthermore, compared to the self‐employed, employers are much less likely to be poor, while employees are more vulnerable. Finally, living in a region with ahigher GDP per capita lowers the probability of working poverty, whereas regions with higher Gini indices, unemploymentrates, and Syrian refugee rates are associated with higher poverty risks.