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The study examines effects of some factors on the child labor force in Turkey such as the level of education of household heads determining the child labor, the features of geographical region where the household live and sex of working children. It is a motivation tool of opting for this subject in a developing country having a young population that there are few empirical studies concerning the fact of child labor. The empirical results obtained from non-conditional probability and probit analyses show that the employment rates of boys are higher than that of girls in both urban and rural regions. The education level of decision-makers of household in rural areas is lower than that of in urban regions and accordingly child labor employment rates in rural regions is higher than the same rates in urban regions. These facts mean that the lower the level of education of household heads is, the higher the child labor becomes. That is, when the education level of decision-makers decreases in rural areas, the child labor becomes more common.

Forecasting the electricity price and load has been a critical area of concern for researchers over the last two decades. There has been a significant economic impact on producers and consumers. Various techniques and methods of forecasting have been developed. The motivation of this paper is to present a comprehensive review on electricity market price and load forecasting, while observing the scientific approaches and techniques based on wind energy. As a methodology, this review follows the historical and structural development of electricity markets, price, and load forecasting methods, and recent trends in wind energy generation, transmission, and consumption. As wind power prediction depends on wind speed, precipitation, temperature, etc., this may have some inauspicious effects on the market operations. The improvements of the forecasting methods in this market are necessary and attract market participants as well as decision makers. To this end, this research shows the main variables of developing electricity markets through wind energy. Findings are discussed and compared with each other via quantitative and qualitative analysis. The results reveal that the complexity of forecasting electricity markets’ price and load depends on the increasing number of employed variables as input for better accuracy, and the trend in methodologies varies between the economic and engineering approach. Findings are specifically gathered and summarized based on researches in the conclusions.

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The aim of this study is to analyze the relation between human capital and economic growth for the years between 1990 and 2011 in 15 MENA (Middle East and North Africa) countries. Knowles and Owen's (1995) model which is based on Mankiw et al. (1992)'s Augmented Solow Model in principle is used as the economic model in the study. However, the statistical analysis is panel-data for the countries. Human capital is represented by both health and education at the same time. The findings show that public expenditure on human capital does not have any significant effect on economic growth neither in terms of health nor education. But this does not change the fact that when health and education quality are improved, the GDP per capita would increase, thus growth can be much more effective.

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