Building an integral measure of the quality of life of constituent entities of the Russian Federation using the principal component analysis
Автор: Zhgun Tatyana Valentinovna
Журнал: Economic and Social Changes: Facts, Trends, Forecast @volnc-esc-en
Рубрика: Modeling and forecasting of socio-economic processes
Статья в выпуске: 2 (50) т.10, 2017 года.
Бесплатный доступ
Social policy just like any other type of policy is an element of the management system. For effective social policy it is necessary to know the trends and quantitative characteristics of social development dynamics. The purpose for the research is to build an objective composite index to measure and compare the quality of life in constituent entities of the Russian Federation. Such an index is particularly useful in Russia which is undergoing the process of transformations amid increasing social and economic inequality. Objective complex assessment of the quality of life can play a major role in reducing such inequality in Russia. The author implements the algorithm of building a latent integral characteristic of system quality change based on statistical indicators for a series of sequential observations on the basis of principal components analysis given the measurement noise (SNR-based algorithm). As opposed to the classic principal components analysis where the information capacity of the calculated integral characteristic set a priori and is provided by selecting a number of principal components, in the proposed algorithm the information capacity is estimated a posteriori, based on variance criteria and the selected signal-to-noise ratio characterizing data variability...
Integral index, measurement error, quality of life, development, principal components analysis
Короткий адрес: https://sciup.org/147223925
IDR: 147223925 | DOI: 10.15838/esc.2017.2.50.12
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