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

Author

Listed:
  • Mirela PANAIT

    (Universitatea „Petrol-Gaze” din Ploiesti)

  • Andreea – Ioana Marinescu

    (Academia de Studii Economice din Bucuresti)

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.

Suggested Citation

  • Mirela PANAIT & Andreea – Ioana Marinescu, 2016. "Statistical-econometric model used for the analysis of the correlation between the Gross Domestic Product and the Labour Productivity," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(11), pages 180-187, November.
    • Handle: RePEc:rsr:supplm:v:64:y:2016:i:11:p:180-187
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    References listed on IDEAS

    as
    1. Emilian Dobrescu, 2013. "Updating the Romanian Economic Macromodel," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 5-31, December.
    2. Constantin ANGHELACHE & Madalina Gabriela ANGHEL & Ligia PRODAN & Cristina SACALA & Marius POPOVICI, 2014. "Multiple Linear Regression Model Used in Economic Analyses," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 62(10), pages 120-127, Octomber.
    3. Ghysels,Eric & Osborn,Denise R., 2001. "The Econometric Analysis of Seasonal Time Series," Cambridge Books, Cambridge University Press, number 9780521565882, September.
    4. Constantin ANGHELACHE & Alexandru MANOLE & Mădălina Gabriela ANGHEL, 2015. "Analysis of final consumption and gross investment influence on GDP – multiple linear regression model," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(604), A), pages 137-142, Autumn.
    5. repec:agr:journl:v:3(604):y:2015:i:3(604):p:137-142 is not listed on IDEAS
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