Mathematical Modeling of the Relationship between the Components of Higher Education and the Rate of Economic Activity in Syria

This study aims to find the best indicators representing higher education components using the method of multivariate statistical analysis represented in a manner factor analysis, and create a mathematical model that connects the principal components representing higher education and the rate of economic activity in Syria using multi- linear regression analysis. A descriptive analytical approach is used in this study. The most important results obtained state that the principal components that belong to higher studies and intermediate institutes have a positive impact on the rate of economic activity of manpower, whereas principal components that belong to students of state universities and higher institutes have a negative impact on the rate of economic activity.

Applying Factor Analysis for Studying the Most Important Factors Economic Affecting the number of employees within period 2000 till 2009 in Syria

The objective of this research is applying Factor Analysis for Studying the most important economic factors affecting the number of employees within period 2000 till 2009 in Syria, to propose a methodological framework for constructing the integrated factor analysis model system (FAMS) that can be used as a decision support tool in employment year examination and supervision process for detection of years, which are experiencing serious problems. Sample and variable set of the study contains 17 economic variables. Study years (10 years during the period 2000–2009) and their economic variables. Well known multivariate statistical technique (principal component analysis), was used to explore the basic economic characteristics of the theses years, and discriminant models were estimated based on these characteristics to construct FAMS. The importance of factor analysis model system in employment year examination was evaluated with respect to defining the non-employment years for deciding the most important employment policy for reducing unemployment rates in future. Results of the study show that, if FAMS was effectively employed within studied years, It is possible in this case to identify weaknesses, according to the years that have the number of employees is less than the overall average calculated over the period.

Mathematical modeling of the relationship between number of higher education students and social and economic factors in Syria

This study aims to find the best social and economic factors that affect the number of students in higher education using the descriptive analysis approach, and find the mathematical model that connects the principal components representing the social and economic factors and the number of students in higher education in Syria. The most important results that have reached were the principal components representing the social and economic factors, after doing the orthogonal rotation and was representing the first component (number of members the labor force that are gainfully) employed, the number of population per health doctor, number of members, the labor force that are self-employed, number of members the labor force that are unmarried, number of population per dentist, higher education budget, and number of nurses. And the four thcomponent (number of members the labor force that are married), both components affected positively on the number of students in higher education, the second component (economic activity rate of the human power, average number of people per pharmacist, number of members the labor force that are gainfully unemployed, the third component (number of members the labor force that are divorced and widowed) affected negatively on the number of students in higher education.

Studing the economic factors affecting consumer spending in Syria using factor Analysis

This study aimed at identifying the best indicators representing economic factors using Factor Analysis, as well as developing a mathematical model linking principal components which represent both the economic factors and consumer spending in Syria using Multi-linear regression analysis. A descriptive analytical approach is used in this study. The study results from Factor Analysis show that there are three principal components which best represent the economic factors. The first component includes: the number of workforce working for free, the number of paid workforce, consumer price index, the average annual GDP per capita. The second component includes: interest rate, self-employed workforce. The third component includes the number of employers. A mathematical model is developed to link the above three components of the economic factors and the total monthly household spending average in Syria during ( 2000-2010).