Abstract
In the labour relations literature, groups such as women, students, youth, youth who are neither employed nor in education or training (15-29-year-olds) disabled people, and retirees are accepted as “disadvantaged”. Although the employment of disadvantaged groups or unemployment indicators vary across countries, the employment of disadvantaged groups appears to be a common problem in many countries. In this context, in this study, it was conducted to investigate the dissimilarity of some disadvantaged groups in terms of employment and unemployment among OECD countries, including women, youth, youth who are neither employed nor in education or training. The most dissimilar countries tried to be determined in terms of variables handled within OECD countries. This determination was considered important to make comparisons correctly between countries. Since the most recent data in OECD and World Bank databases belong to 2018, countries that belong to this year and cover the most variables whenever possible are tried to be addressed. Multidimensional scaling analysis (MDS) was used in the research. In macro studies, Cluster or MDS analyses are generally preferred for cross country comparisons. MDS analysis is a method especially used to determine the dissimilarity between units. In this study, it was found that Turkey was the most dissimilar country in other OECD countries in terms of the variables that are used in the study. This study is due diligence and the results should not be considered as good or bad. There are very good examples of countries in the field of employment and social policy, and it is also important to evaluate the locations according to these countries in determining the main results.
Highlights
Employment rates vary among different groups of the population, as affected by various factors such as age, sex, region, ethnic origin, disability, and level of qualifications
While conducting research on labour markets, it can be seen that subvariables offal under many of the main variables such as unemployment type, unemployment duration that includes short-term and long-term unemployment by qualification levels, or unemployment by social groups or participation in the labour force
Indicators of disadvantaged groups regarding the labour market are addressed in many sub-categories
Summary
Employment rates vary among different groups of the population, as affected by various factors such as age, sex, region, ethnic origin, disability, and level of qualifications. In the international arena and on the basis of countries, related institutions are seeking ways to increase awareness of the problems faced by disadvantaged groups and to combat discrimination in the labour market (Dedeoğlu, 2012). This is because studies have shown a strong relationship between employment rates amongst disadvantaged groups and societal welfare. Despite laws and structural practices introduced by governments (e.g., House of Commons Work and Pensions Committee, 2007) to promote equality of opportunity and the integration of disabled people into the workplace, the associated target levels have not been achieved
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