id: 28496
Title: Econometric modeling of population employment indicators in Ukraine
Authors: Volontyr L.
Keywords: employed population, value of gross output, consumer price index, fixed capital investment, econometric analysis, multifactor econometric model, autocorrelation, multicollinearity
Date of publication: 2021-05-26 14:20:47
Last changes: 2021-05-26 14:20:47
Year of publication: 2021
Summary: According to the statistical information of the advancement indicators of Ukraine, a multiple regression model was developed for such a general indicator of employment as the number of employed people of Ukraine
(dependent variable). Factors (independent variables) that affect the value of this indicator have been identified. A preliminary econometric analysis of the model was performed: correlation fields were developed and statistical
characteristics of the samples were determined, on the basis of which the data of statistical samples were checked whether they keep in with the standard distribution law; paired correlation coefficients are calculated and the closeness (density) of the bond between all model variables is estimated; independent variables that have the greatest impact on the number of employed people in Ukraine have been identified. A multifactor regression model
was constructed, the significance of which was verified by Fisher’s F-statistics, and the parameters of the models were verified by Student’s t-statistics with a confidence probability of p = 0.95. The model was verified for multicollinearity and autocorrelation. The model developed can be used to improve the planning and adjustment of the employed population of Ukraine. The proposed methodology can also be used to develop appropriate models for
any region of Ukraine.
URI: http://socrates.vsau.org/repository/getfile.php/28496.pdf
Publication type: Статті у зарубіжних наукових фахових виданнях (Copernicus та інші)
Publication: Colloquium-journal. 2021. № 14 (101), сzęść 5. Р. 4-12.
In the collections :
Published by: Адміністратор
File : 28496.pdf Size : 1249440 byte Format : Adobe PDF Access : For all
| |
|
|
