Statistical-econometric model used for the analysis of the correlation between the Gross Domestic Product and the Labour Productivity

Mirela Panait () and Andreea – Ioana Marinescu
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Andreea – Ioana Marinescu: Academia de Studii Economice din Bucuresti

Romanian Statistical Review Supplement, 2016, vol. 64, issue 11, 180-187

Abstract: The purpose of this article targets the analysis of the correlation between two variables by using the statistical-econometric model of simple linear regression. A country’s GDP evolution is affected by various factors, but in this article we will focus on the establishment of the dependences between the GDP, as result variable, and the labour productivity, as factorial variable. By simply analysing the statistical data, we can notice that an increase of the labour productivity generates a growth of production volume and a decrease of the production costs. Therefore, we can appreciate that we have a correlation between the two variables under consideration which can be expressed by using the simple linear regression model. The correlation analysis of the two indicators is based on a series of online data published by the National Institute of Statistics from 1995 to 2015 and aims to set an overview of their evolution, in order to anticipate future evolutions.

Keywords: simple regression; labour productivity; GDP; correlation; evolution (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:rsr:supplm:v:64:y:2016:i:11:p:180-187

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