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Article 2025 · 1 citations

PUBLIC PERCEPTIONS OF MUNICIPAL SOCIAL ASSISTANCE: STEREOTYPE ORDERED REGRESSION USING NATIONAL MICRODATA

Unver, Seyda, Alkan, Omer

Abstract

The aim of this study is to identify the factors influencing individuals' satisfaction with municipal aid to the sick and the poor in T & uuml;rkiye, using the microdata sets from the 2023 Life Satisfaction Survey conducted by the Turkish Statistical Institute (TurkStat) and analyzing them through a Stereotype Ordered Regression model. An examination of the model results reveals that the variables of age, marital status, education level, employment status, level of happiness, satisfaction with health, household size, social security status, and income level are statistically significant. The study reveals that as individuals age, the probability of being satisfied with municipal aid to the sick and the poor increases. On the other hand, the study shows that as the education level of individuals increases, the probability of being satisfied with such municipal aid decreases. In addition, individuals who are dissatisfied with their health are less likely to be satisfied with municipal aid to the sick and the poor compared to those who are very satisfied with their health.

Keywords
Stereotype ordered regression T & uuml;rkiye life satisfaction survey SATISFACTION
WoS Categories
Economics
Sustainable Development Goals
Citation
Journal
KAFKAS UNIVERSITESI IKTISADI VE IDARI BILIMLER FAKULTESI DERGISI
Year
2025
Volume
16
Issue
32
Pages
791-809
ISSN
1309-4289
eISSN
2149-9136
DOI
10.36543/kauiibfd.2025.029
WoS UID
WOS:001668905300006
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