جستجوی مقالات مرتبط با کلیدواژه « تحصیل زدگی » در نشریات گروه « علوم تربیتی »

With the extensive development of higher education in Iran, the phenomenon of overeducation or job-education mismatch has emerged in the Iranian labor market, which has caused negative consequences, including the increase in unemployment. Therefore, it is necessary to identify the factors affecting overeducation in order to adopt a suitable policy to reduce it. Therefore, the purpose of this research is to identify the factors affecting the overeducation of the workforce in urban and rural areas of the country. For this purpose, the household cost-income data of 2020 and the logit model are used. The results of the research show that the variables of years of education, experience, part-time job, sex, unemployment rate, relative supply of graduates, relative demand of graduates, and employment in the private sector are factors affecting overeducation in Irananian labor market. At the end of the study, the suggestions have been made to reduce the overeducation. The general suggestion of the research is that, first, student training in universities should be done based on the needs of the labor market; Secondly, by making different economic sectors knowledge-based, the recruitment of educated workforce should increase according to the level of education.

In recent years, a lot of investment has been made by the government to increase the number of university graduates. These investments have been made in order to improve the living conditions by increasing the wages of the workforce. Increasing the education of the workforce through the promotion of human capital can increase the productivity and wages of the workforce. But this happens in a situation where the education of the workforce is in line with the needs of the labor market. Lack of education or required education can even have a negative effect on the wages of the workforce.

Therefore, the main goal of this study is to investigate the effect of education on the wages of urban and rural workers. For this purpose, the raw data of household cost-income of 2019 for the provinces of the country is used. The calculation of education is done by Duncan and Hoffman's method, and Mincer's wage function is estimated by the mixed effects method (multilevel model). In this research, Iranian people (urban and rural) in different provinces are studied. Therefore, the data are analyzed at both individual and province levels. Hence, according to the two-level nature of the data, multi-level patterns are a suitable method for this study. In this type of modeling, the complex structures of economic-social life are considered in the framework of natural and social groupings such as geographical regions. In this research, using the above method, the effect of the variables of the individual's appropriate years of education, over-required education, under-required education, years of potential experience, the product of potential experience years in over-required, appropriate and under-required education respectively, gender and the control variable of the group wage employment have been investigated in urban and rural areas.

The estimation results show that the required education in the rural areas and the insufficient education in the urban areas have a negative effect on the wages of the labor force. Also the variable of experience in both urban and rural areas has a positive effect and the variable of being a woman has a negative effect on the wages of the labor force in both.