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Analyzing the correlation between GDP and import using a statistical-econometric model

Author

Listed:
  • Radu Titus MARINESCU

    („ARTIFEX”University of Bucharest)

  • Aurelian DIACONU

    („ARTIFEX”University of Bucharest)

  • Alexandru BADIU

    (Bucharest University of Economic Studies)

  • Alexandru BADIU

    (Bucharest University of Economic Studies)

Abstract

In order to analyze the correlation between GDP increase as a result of exports, it is relevant to make a similar analysis regarding their effect on GDP evolution. It a known fact that beginning with 1990 up to the present, exports have been fewer than imports. There are many explanations but we shall mention just few of them. First of all, by narrowing down the structure of domestic production, Romania felt the need to realize imports with two directions. The first would be the direction towards completing the quantity of imports, where economic processes of goods and services production needed additional values. The second direction of imports would be that a series of imports completed the consumption need of population.

Suggested Citation

  • Radu Titus MARINESCU & Aurelian DIACONU & Alexandru BADIU & Alexandru BADIU, 2016. "Analyzing the correlation between GDP and import using a statistical-econometric model," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(10), pages 98-102, October.
  • Handle: RePEc:rsr:supplm:v:64:y:2016:i:10:p:98-102
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    References listed on IDEAS

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    1. Georgi N. Boshnakov & Bisher M. Iqelan, 2009. "Generation Of Time Series Models With Given Spectral Properties," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(3), pages 349-368, May.
    2. Peter C. B. Phillips & Donggyu Sul, 2003. "Dynamic panel estimation and homogeneity testing under cross section dependence *," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 217-259, June.
    3. James D. Hamilton & Daniel F. Waggoner & Tao Zha, 2007. "Normalization in Econometrics," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 221-252.
    4. Constantin ANGHELACHE & Madalina – Gabriela ANGHEL & Marius POPOVICI, 2016. "Analysis of the Gross Domestic Product evolution for 2015," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(3), pages 50-56, March.
    5. Mazurek, Jiri, 2013. "A Comparison of GDP growth of European countries during 2008-2012 period from regional and other perspectives," MPRA Paper 51178, University Library of Munich, Germany.
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