Using the Autoregressive Model for the Economic Forecast during the Period 2014- 2018

Prof. Constantin ANGHELACHE PhD.
Bucharest University of Economic Studies, Artifex” University of Bucharest
Prof. Ioan Constantin DIMA PhD.
Valachia University, Targoviste
Lect. Mădălina-Gabriela ANGHEL PhD.
“Artifex” University of Bucharest

Abstract

The article is based on the analysis of the autoregressive model. The model will include in its structure a dependent variable represented by the macroeconomic indicator GDP, to be forecasted and as independent variable, granting an autoregressive character to our model, by including in the frame of the built up model of the autoregressive variable GDP (-1), namely the lag 1 of the variable GDP. Also considered as independent variables are the final consumption (FC) and the flow of direct foreign investments (DFI) both influencing the tendency of the evolution of the economic growth in our country.

Key words: autoregressive model, indicators, GDP, correlation, forecast, representation

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Sumar RRS Supliment 1/2016