Gross Domestic Product (GDP) is an important indicator of economic activity, and is often used by decision makers to plan economic policy. This paper aims at modeling and forecasting real GDP rate in Greece. For this purpose using the Box-Jenkins methodology during the period 1980-2013 with one ARIMA (1,1,1) model. Using this model, we forecast the values of real GDP rate for 2015, 2016 and 2017. Statistical results show that Greece's real GDP rate is steadily improving.
This study investigates the relationship among macroeconomic variables using quarterly
data for European Union covering the period from 1970 I to 2000 IV. The purpose of this study is to
estimate the dynamic interrelation among macroeconomic variables such as money, gross domestic
product, interest rates, level of price and exchange rates. For the empirical analysis of this
investigation, we employ the Johansen multivariate cointegration technique as well as Granger
causality tests. The empirical results provide evidence for the existence of important causality relations
between variables that describe macroeconomic activity
The aim of this paper is to analyze the relationship between international trade, economic and financial development for Poland during the period 1990-2016. For the analysis of this relationship we apply the autoregressive distributed lag (ARDL) technique and the error correction model (ECM) as it was formed by Pesaran and Shin (1999) and Pesaran et al. (2001), as well as the augmented Cobb-Douglas production function formed by Mankiw et al. (1992). The results of ARDL test and ECM confirm the existence of long and short run equilibrium relationship among variables of the examined model. Capital seems to be a driver of economic growth both in the short and long run, while labor has a negative impact in Poland's economic growth. However, trade openness and financial development found to be insignificant on economic development both in the short and long run.
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