Analysis of the correlation between the Gross Domestic Product and some factorial variables

Journal Title: Revista Romana de Statistica - Year 2016, Vol 64, Issue 10

Abstract

In this article we left that GDP increases due to the influence of factors. The structural analysis of GDP, the most important indicator of national results, we perform studies on factors based on source or final use of GDP. In literature there are many such analyzes. In the present study we left that international economic activity, namely foreign direct investment and international trade of a country have certain effects on GDP change. The simple interpretation of data from the data sets comprising GDP and foreign direct investment or international trade value realized (import, export or net exports) highlights a trend in the same direction. In this context we can conclude that trends of FDI reflects the change of the GDP. So we appreciate that it is a correlation between the two indicators evolve after the straight line function. In this article, we aim to highlight the effect of net exports, calculated as the difference between export and import the tendency of change in GDP. Net exports is basically balance international trade balance. In Romania, since 1992 until today, this indicator has negative values. In other words, it shows us how occurs in the country and are used to cover imports carried. The two established correlations we analyzed using statistical and econometric methods. Thus, we used the analysis of the correlation analysis, data sets and graphical format or developments in the dynamic study analyzed data series. To quantify these trends, we used linear regression models using simple and multiple.

Authors and Affiliations

Mădălina-Gabriela ANGHEL, Constantin ANGHELACHE, Diana Valentina DUMITRESCU, Daniel DUMITRESCU

Keywords

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  • EP ID EP149430
  • DOI -
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How To Cite

Mădălina-Gabriela ANGHEL, Constantin ANGHELACHE, Diana Valentina DUMITRESCU, Daniel DUMITRESCU (2016). Analysis of the correlation between the Gross Domestic Product and some factorial variables. Revista Romana de Statistica, 64(10), 130-145. https://europub.co.uk/articles/-A-149430