An integral financial stability index is constructed using Israel macroeconomic data. Approaches relying on the use of dependent variable as well as principal component mathod and its modifications are examined. Obtained indexes are compared in terms of their forecast quality. In case of no dependent variable structural shift is analyzed.
The paper explores a suitability of higher education quality measurement from student's point of view, and analyses results of interviewing of students from engineering specialties in Perm universities. Nonlinear Principal Components Analysis (NLPCA) in interpretation of Gifi system was used as the tool for data processing. It takes into account a dissimilar statistical nature of questionnaire indicators. The method can be very promising for various socio-economic researches.
The article is devoted to the problem of methodology for the assessment of human capital. The authors critically and comprehensively considering various existing approaches to the assessment of human capital at the macro level, including unhallowed in the domestic literature, and spend their systematization. On the basis of critical analysis is presented of the author’s approach to building human capital index, which is being tested on Russian data. The author’s empirical study is conducted on the basis of a broad interpretation of the notion of “human capital”, the proposed indicators not previously used in the literature, in particular it is proposed to use not only traditional indicators characterizing the level of education and health, but also components that characterize the cultural level, the values of the population, the quality of the education. Built indicator of human capital can be useful for the development of public policies aimed at reducing regional imbalances in the accumulation of human capital, and more efficient use of labor resources.