Employment of disadvantaged groups in OECD countries
Aslı Beyhan Acar · Mine Afacan Findikli
International Journal of Research in Business and Social Science · 2020 · Vol. 9 / Issue 4 · 330-342
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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.
Keywords: {'name': 'Employment and unemployment rates of disadvantaged groups, MDS analysis, unemployment rates of OECD countries.'}
Authors & affiliations
Aslı Beyhan Acar
Affiliation not supplied
Mine Afacan Findikli
Affiliation not supplied
Deposited references
Supplied references, not a list of publications citing this article.
Addati L., Cassirer N., Gilchrist K. (2014). Maternity and Paternity at Work: Law and Practice Across The World, ILO Publications, Geneva.
DOI: 10.1080/23760818.2018.1517450
DOI: 10.1501/bsad_0000000015
DOI: 10.1017/S1537592711004890
DOI: 10.1057/elmr.2010.78
Chandra, R. (2004). Social Development in India, Gyan Publishing House, India.
DOI: 10.1177/0010836719895296
Dean, D. (2008). Age, Gender and Performer Employment in Europe. Industrial Relations Research Unit. UK: Warwick Business School University of Warwick.
DOI: 10.1093/sp/jxs004
DOI: 10.1111/j.1467-9914.1993.tb00207.x
Diop, A. (2007). Women and Work, Seminar for Members of Parliamentary Bodies Dealing with Gender Equality and Committees Addressing Labour Issues, ILO Publications, Geneva.
Edelman, P. B., Holzer, H. J. (2013). Connecting the Disconnected: Improving Education and Employment Outcomes Among Disadvantaged Youth, IZA Policy Paper No. 56, IZA Publications.
Floro M. S., Meurs M. (2009). Global Trends in Women’s Access to “Decent Work”, International Labour Organization, ILO Publishing, p. 18.
Freedman, D. H. (2008), Improving Skills and Productivity of Disadvantaged Youth, Employment Sector Employment Working Paper No. 7, ILO Publications, Geneva.
DOI: 10.14452/MR-065-07-2013-11_3
DOI: 10.1086/686274
Heuvel, V. A. (1999). Mature age Workers: Are They a Disadvantaged Group in the Labour Market? Australian Bulletin of Labor, 25(1), 11-22.
International Labour Organization. (2012). The Youth Employment Crisis: A Call for Action, Resolution and Conclusions of the 101st Session of the International Labour Conference, Geneva.
DOI: 10.20982/tqmp.05.1.p001
DOI: 10.3390/socsci8020036
Kızıl, C. (2016). Turkey’s Policy on Employment of Syrian Refugees and its Impact on the Turkish Labour Market. Turkish Migration, 164-70.
DOI: 10.5465/amj.2015.0195
Mayhew, K. & Rijkers, B. (2004). How to Improve the Human Capital of Older Workers or the Sad Tale of the Magic Bullet. OECD Seminar on Human Capital and Labour Market Performance, Brussels, p. 5
Messenger J. (2018). Working time and the future of work, ILO Future of Work Research Paper Series, ILO Publications, Geneva.
Nita, D. & Fleşer, A. (2011). Youngsters-Disadvantaged Group on the Labour Market - Alternative Employment. Annals of the University of Petrosani, Economics, 11(1), 179-186.
O’Neill, J. E. & O’Neill, D. M. (2012). The Declining Importance of Race and Gender in the Labor Market: The Role of Employment Discrimination Policies, AEI Press, New York.
DOI: 10.1080/09638280701192881
DOI: 10.1080/09638280701774076
Ustabaş, A., & Afacan Fındıklı, M. (2017). Being a Woman in Working Life: The Problems Faced by Women Managers in the Industrial Sector in Turkey, Karadeniz Sosyal Bilimler Dergisi, 9(9), 421-441.
DOI: 10.1111/ejed.12037
Wickelmaier, F. (2003). An Introduction to MDS, Wickelmaier Publications.
ILOSTAT, Share of youth not in employment, education or training (youth NEET rate),
https://www.ilo.org/ilostat-files/Documents/description_NEET_EN.pdf
The World Bank. Women are less likely than men to participate in the labor market in most Countries .http://data.worldbank.org/news/women-less-likely-than-men-to-participate-in-labor-market