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Econometric Methods And Models Used In The Analysis Of The Factorial Influence Of The Gross Domestic Product Growth

Author

Listed:
  • Constantin ANGHELACHE

    (Bucharest University of Economic Studies, Faculty of Faculty of Cybernetics, Statistics and Economic Informatics)

  • Madalina Gabriela ANGHEL

    („Artifex” University of Bucharest, Faculty of Finance and Accounting, Romania, Bucharest)

Abstract

Gross Domestic Product is the most representative synthetic indicator that expresses the evolution of the national economy. This macroeconomic indicator is used in the analysis of the level of the national economy, as well as the dynamic evolution of the national economy. In the forecast studies we rely on GDP evolution. In these situations, we might identify the factors of economic growth, and their influence. On the evolution of GDP have influence some factors: employees, labour productivity, the level of technology, investments and foreign direct investment, imports, exports or net exports, total consumption, and so on. We can analyze the data series and graphical representation. Detailed analysis is performed using econometric methods, parameters which express interdependence, meaning and intensity of correlation. Thus, we estimate the economic developments. The authors studied and proposed some econometric models for the analysis of economic growth/forecast. The novelty is that we adapt some econometric models to macroeconomic analysis.

Suggested Citation

  • Constantin ANGHELACHE & Madalina Gabriela ANGHEL, 2017. "Econometric Methods And Models Used In The Analysis Of The Factorial Influence Of The Gross Domestic Product Growth," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 9, pages 67-78, June.
  • Handle: RePEc:cmj:networ:y:2017:i:9:p:67-78
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Constantin ANGHELACHE & Ștefan Virgil IACOB & Dana Luiza GRIGORESCU, 2020. "The analysis of the quarterly evolution of the gross domestic product in 2019," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(622), S), pages 171-182, Spring.
    2. Andreea -Ioana MARINESCU, 2017. "Econometric Model For The Analysis Of The Correlation Between The Inflation Rate And The Gross Domestic Product," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(12), pages 25-32, December.
    3. Constantin ANGHELACHE & Mădălina-Gabriela ANGHEL & Ștefan Virgil IACOB & Tudor SAMSON, 2020. "Analysis of the quarterly evolution of the Gross Domestic Product," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(624), A), pages 243-260, Autumn.
    4. Madalina-Gabriela ANGHEL & Ana CARP & Marian SFETCU & Stefan Gabriel DUMBRAVA, 2017. "Econometric Model For Analyzing The Influence Of Factors On Final Consumption," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(10), pages 123-131, October.

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    More about this item

    Keywords

    Econometric model; Economic growth; Correlation; Factor of influence; Parameter;
    All these keywords.

    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development

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