2015•RePEc: Research Papers in EconomicsRequires access

ANALYSIS THEORETICAL MODEL OF THE CONSUMPTION FROM THE GROSS DOMESTIC PRODUCT

Constantin Anghelache, Marius Popovici

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Abstract

Analysis and prediction of the final consumption represent important aspects of macroeconomic view. Results of these approaches will help structuring realistic macroeconomic policies. With the view to produce solid models of final consumption, simple linear regression function, as well as multiple regression function were used, with the conclusion that the multiple regression function has no risk and its productivity is quite high.The indicators used have a significant influence on the development of the gross domestic product with the effect of a practical correlation between them and GDP. By stimulating any of them GDP will grow. As a conclusion, the multiple regression function represents a valuable theoretical and methodological instrument.

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Analysis and prediction of the final consumption represent important aspects of macroeconomic view. Results of these approaches will help structuring realistic macroeconomic policies. With the view to produce solid models of final consumption, simple linear regression function, as well as multiple regression function were used, with the conclusion that the multiple regression function has no risk and its productivity is quite high.The indicators used have a significant influence on the development of the gross domestic product with the effect of a practical correlation between them and GDP. By stimulating any of them GDP will grow. As a conclusion, the multiple regression function represents a valuable theoretical and methodological instrument.

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Available abstract

Analysis and prediction of the final consumption represent important aspects of macroeconomic view. Results of these approaches will help structuring realistic macroeconomic policies. With the view to produce solid models of final consumption, simple linear regression function, as well as multiple regression function were used, with the conclusion that the multiple regression function has no risk and its productivity is quite high.The indicators used have a significant influence on the development of the gross domestic product with the effect of a practical correlation between them and GDP. By stimulating any of them GDP will grow. As a conclusion, the multiple regression function represents a valuable theoretical and methodological instrument.

Key concepts: Consumption function, Gross domestic product, Consumption (sociology), Econometrics, Economics, Function (biology), Regression analysis, Productivity

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