摘要：This paper analyzes the most vulnerable segments of the labour market with particular emphasis on situation of youth, women, long-term unemployed and pre-retirement age people in the labour market during the period of economic development in Lithuania in 2002-2010. The scientific problem of this research can be formulated by raising the issue as follows: how does the economic development in Lithuania influences the most vulnerable labour market segments? To tackle the problem, scientific literature analysis, statistical clustering and comparison, and correlation and regression analysis methods are used. Statistical relations between country's overall level of employment and the number of unemployed among the most vulnerable segments of the labour market shows that the growth of the employment rate has a strong statistical tendency to decrease the number of unemployed among the most vulnerable segments of the labour market. Analogous analysis of the data revealed that when the unemployment rate increases, the unemployment rate of the most vulnerable segments of the labour market also increases. The research results show that the changes of employment and unemployment rate of the most vulnerable segments of the labour market in the country can be predicted with high reliability. This discloses the potential of practical applicability of the model. In order to monitor the employment of the most vulnerable segments of the labour market, there is a need to analyze constantly the impact of economic changes on the employment of these segments.
其他摘要：This paper analyzes the most vulnerable segments of the labour market with particular emphasis on situation of youth, women, long-term unemployed and pre-retirement age people in the labour market during the period of economic development in Lithuania in 2002-2010. The scientific problem of this research can be formulated by raising the issue as follows: how does the economic development in Lithuania influences the most vulnerable labour market segments? To tackle the problem, scientific literature analysis, statistical clustering and comparison, and correlation and regression analysis methods are used. Statistical relations between country's overall level of employment and the number of unemployed among the most vulnerable segments of the labour market shows that the growth of the employment rate has a strong statistical tendency to decrease the number of unemployed among the most vulnerable segments of the labour market. Analogous analysis of the data revealed that when the unemployment rate increases, the unemployment rate of the most vulnerable segments of the labour market also increases. The research results show that the changes of employment and unemployment rate of the most vulnerable segments of the labour market in the country can be predicted with high reliability. This discloses the potential of practical applicability of the model. In order to monitor the employment of the most vulnerable segments of the labour market, there is a need to analyze constantly the impact of economic changes on the employment of these segments. DOI: http://dx.doi.org/10.5755/j01.ee.24.4.2240
