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Macroeconomic models used in structural analysis of GDP

Author

Listed:
  • Constantin ANGHELACHE

    (Bucharest Academy of Economic Studies, Romania “ARTIFEX” University of Bucharest, Romania)

  • Alexandru MANOLE

    (“ARTIFEX” University of Bucharest, Romania)

  • Mădălina-Gabriela ANGHEL

    (“ARTIFEX” University of Bucharest, Romania)

Abstract

In this paper, the authors present some models useful for the analysis of the Gross Domestic Product. The study capitalizes official data published by the National Institute of Statistics from Romania. As the principal indicator of the macroeconomic results in the national economies, the Gross Domestic Product is influenced by a variety of factors, whose impact can be estimated with the help of appropriate models. After presenting some aspects on the evolution of Romania’s Gross Domestic Product, the authors propose a set of econometric models, based on the simple and multiple regression approach, which are able to measure the impact of final consumption, on one hand, and the turnover of the companies acting in the retail sector, on the other hand, on the main indicator considered in the research. The models are tested against Rsquared and Adjusted R-squared parameters, and the results of estimations are further explained.

Suggested Citation

  • Constantin ANGHELACHE & Alexandru MANOLE & Mădălina-Gabriela ANGHEL, 2017. "Macroeconomic models used in structural analysis of GDP," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(610), S), pages 197-206, Spring.
    • Handle: RePEc:agr:journl:v:xxiv:y:2017:i:1(610):p:197-206
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    References listed on IDEAS

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    2. Florin Paul Costel LILEA & Andreea – Ioana MARINESCU, 2017. "Macroeconomic Forecast Models – Concepts And Theoretical Notions," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(6), pages 118-123, June.

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