Models and indicators used in macroeconomic forecast

Constantin Anghelache, Mirela Panait (), Andreea - Ioana Marinescu and Georgiana Nita
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Constantin Anghelache: Bucharest University of Economic Studies/„Artifex„ University of Bucharest
Andreea - Ioana Marinescu: Bucharest University of Economic Studies
Georgiana Nita: Bucharest University of Economic Studies

Romanian Statistical Review Supplement, 2017, vol. 65, issue 3, 40-48

Abstract: In this article, the authors aim to analyze the links between certain macroeconomic indicators, using simple linear regression model and multiple. Thus, initially, will be addressed some general notions on macroeconomic forecast. Further extend the analysis will be used by applying simple linear regression models and multiple. The indicators used, GDP, consumption, export, import, is in fact variable interconnection. By using regression function, will be offered in terms of quantity, show the existence and intensity of existing interdependence and its analysis based on regression model. Using data series published by the National Statistics Institute, we look at the GDP in the period 1995-2015, the correlation between GDP and actual individual final consumption of households and links between GDP, on the one hand, and final consumption, the level of exports and imports, on the other hand, using multiple linear regression model.

Keywords: linear regression macro-economic indicator; GDP evolution; correlation; multiple regression; parameter (search for similar items in EconPapers)
JEL-codes: C51 E60 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (3)

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