Models and indicators used in macroeconomic forecast
Constantin Anghelache, Mirela Clementina Panait, Andreea Ioana Marinescu, Georgiana Nita
Abstract
Open-access reader
Constantin Anghelache, Mirela Clementina Panait, Andreea Ioana Marinescu, Georgiana Nita
Abstract
Open-access reader
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.
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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.
Key concepts: Econometrics, Consumption (sociology), Economics, Regression analysis, Linear regression, Simple linear regression, Regression, Consumption function