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Prediktori stavova hrvatskog stanovništva o socijalnoj državi


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Levačić, Dora. (2017). Prediktori stavova hrvatskog stanovništva o socijalnoj državi. Diploma Thesis. Filozofski fakultet u Zagrebu, Department of Sociology. [mentor Rodik, Petra].

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The paper examines predictors of welfare attitudes among Croatian citizens. Using the ISSP 2009 module “Social inequality IV” data, the paper examines the impact of class position, position on the labor market, gender, birth cohort and political orientation on individual welfare attitudes. Separate items from the ISSP questionnaire as well as the composite variable derived by summing the results on the original items are analyzed. In the model that uses the composite dependent variable, only men and members of the youngest cohorts have a statistically significantly higher chance of showing lower welfare state support, arguing in favor of the theory of mass society that post-communist societies have not developed articulation of social conflicts at the level of political attitudes. However, other models support the rational choice theory, as they show that people of higher class status, persons who are not unemployed, voters of right-wing parties, and those who have refrained from declaring their own income and political orientation have a greater chance of expressing lower welfare state support. The findings of this paper suggest that models that use different dependent variables as an approximation of welfare attitudes produce different results. Despite the differences found among respondents, the overall level of support in all socio-demographic groups of Croatian citizens is very high, which should be the subject of further research at a comparative level.

Item Type: Diploma Thesis
Uncontrolled Keywords: Welfare attitudes, post-communist welfare regime, rational choice theory, theory of mass society, post-communist welfare regime
Subjects: Sociology
Departments: Department of Sociology
Supervisor: Rodik, Petra
Date Deposited: 24 Apr 2018 10:03
Last Modified: 24 Apr 2018 10:03

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