ECONOMETRIC METHODS AND MODELS USED IN THE ANALYSIS OF THE FACTORIAL INFLUENCE OF THE GROSS DOMESTIC PRODUCT GROWTH

Constantin Anghelache and Madalina Gabriela Anghel
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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

Network Intelligence Studies, 2017, issue 9, 67-78

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.

Keywords: Econometric model; Economic growth; Correlation; Factor of influence; Parameter (search for similar items in EconPapers)
JEL-codes: E17 O11 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:cmj:networ:y:2017:i:9:p:67-78

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