Abstract
In the implementation of comparative analysis of the application of methods of harmonic weights and integrated economic and statistical calculations in the analysis of socio-economic security characteristics, the priority is given to the method of integrated economic and statistical calculations. When predicting the characteristics of socio-economic security by the method of integrated economic and statistical calculations, their absolute levels or the dynamics of their growth are used. The use of the absolute values of socio-economic security characteristics in forecasting seems more appropriate, as it is possible to solve a number of problems of the method - to identify the levels of factors and factors K_ xi in the lead period.
Highlights
OF THE METHOD OF HARMONIC WEIGHTS AND INTEGRATED ECONOMIC AND STATISTICAL CALCULATIONSIN THE ANALYSIS OF SOCIO-ECONOMIC SECURITYВНЕДРЕНИЕ МЕТОДА ГАРМОНИЧЕСКИХ ВЕСОВ И УКРУПНЕННЫХ ЭКОНОМИКО-СТАТИСТИЧЕСКИХ РАСЧЕТОВ ПРИ АНАЛИЗЕ ПОКАЗАТЕЛЕЙСОЦИАЛЬНО-ЭКОНОМИЧЕСКОЙ БЕЗОПАСНОСТИ AbstractIn the implementation of comparative analysis of the application of methods of harmonic weights and integrated economic and statistical calculations in the analysis of socio– economic security characteristics, the priority is given to the method of integrated economic and statistical calculations
The method of integrated economic and statistical calculations is based on the study of numerical relations between the data of socio-economic security and their extrapolation in the forecast period [6,7,8]
D) as a result of such iterations we find the level of coefficients characterizing the ratio of the level of socio-economic security to the levels of factors in each year of the lead period, in other cases it is necessary to apply individual or group expert assessments
Summary
The method of integrated economic and statistical calculations is based on the study of numerical relations between the data of socio-economic security and their extrapolation in the forecast period [6,7,8]. In the form of factors in the forecast models, it makes sense to include any necessary indicators of socio-economic security that affect the value of the resulting indicator. The detection of their levels in the period of pre-emption occurs with the help of trend models, methods of exponential smoothing, methods of harmonic weights, etc.
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