Application of the Least Squares Method for the Study of Factors Affecting the Average Nominal and Real Wages
https://doi.org/10.56304/S2304487X21030093
Abstract
The influence of a number of economic factors on the average nominal and real wages is considered using the least squares method. The functions of the assumed dependences are found explicitly, and the statistical significance of the constructed models is checked. The data of nominal and real wages from 2000 to 2020 are considered in connection with the average export prices for crude oil, the average labor productivity in the economy of the Russian Federation as a whole. The weak interrelation of these factors is proved. In addition, for the same period, data on real wages depending on the physical volume of gross domestic product are analyzed, linear regression coefficients between these indicators have been determined, and the statistical significance of the constructed equation has been proven.
About the Author
Yu. V. Nikonorova
Volgodonsk Engineering Technical Institute, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
347360
Rostovskaya oblast
Volgodonsk
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Review
For citations:
Nikonorova Yu.V. Application of the Least Squares Method for the Study of Factors Affecting the Average Nominal and Real Wages. Vestnik natsional'nogo issledovatel'skogo yadernogo universiteta "MIFI". 2021;10(3):271-276. (In Russ.) https://doi.org/10.56304/S2304487X21030093
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