The aim of the paper is to give an overview of the real situation, experiences and developments in planning the education system staffing with the use of Econometric Models in Kosovo. Based on the research results and theoretical/scientific achievements as well as practices in the field of these models in EU Countries and wider, suggest application of these Econometric models to Kosovo Institutions for the purpose of adequate planning of needs for new cadre in the education system based on certain level of economic development. The paper will in present the mathematic-economic dimension of the research of education system in a thorough manner. The paper does not analyze the complicated network of interaction between education in one hand, and other components of life quality on the other hand, and does not make a research of the education system quality, but rather the quantitative aspect of education system, as a subsystem of the social system in general. Education is not only limited to production of knowledge, but has an irreplaceable role in creation of many other cultural values. The paper is dedicated to Econometric Modeling in general, where the three internationally recognized models, the relatively complicated education models, and the relatively simple model but in our view very practical as a forecast models namely the regression model, have been presented in an analytical manner. The research results indicated that there is great interdependence between the economic growth norm in the country in one hand and the attained educational results on the economy of knowledge on the other hand. The interdependence between the number of workers and their qualification structure and the results attained in the education field in models, was expressed through equations. The Empiriev model as a concrete model for planning the necessary education cadre for certain levels of economic development is based on the basic model of Tinbergen – Bos. The coefficient values of regression reflect the form and intensity of interdependency between the number of students per million inhabitants and the national income per capita.