جستجوی مقالات مرتبط با کلیدواژه "error correction" در نشریات گروه "اقتصاد"

Due to the importance of the Economic policies to support non-oil exports development in oil exporter countries, it is crucial to identify the effective variables in the function of non-oil exports. Also analyzing the structural stability and the adjustment rate of the deviation from the equilibrium of this function is so important. Therefore, in this paper, the function of non-oil exports is estimated with using Autoregressive Distributed Lag (ARDL) method and applying Iranian economy data from 1971 to 2001. The results show that there is a long-run relationship between the endogenous variables. According to the findings, the coefficients of variables such as GDP and exchange rate in the spot market have positive and significant impacts on the non-oil exports. However, money supply and inflation have negative and insignificant effects on non-oil exports. Moreover, in this research, the stability and error correction tests of this model have been checked and the results indicate that the model has structural stability in the long-run and the adjustment coefficient is 53%(adjustment rate of deviation from equilibrium). Therefore, a non-oil export in Iran is stable and its adjustment rate is in the medium level

Wagner law is the first model of government expenditures in the public finance literature. In addition to testing the traditional version of Wagner's law, also the augmented version of this law, which is introduced by Murthy (1994) is examined in order to find a long-term relationship between government spending and economic development in Iran. The main objective of this study is to evaluate a short-term and long-term relationship between government expenditures (per capita) and GDP (per capita) using annual data for the Iranian economy during the period 1392-1357. Therefore, in this article, the validity of this relationship is checked by six different formulations of the Wagner Law (the desire to increase government spending by economic growth), and the causality between variables are considered with using boundary F-test and error correction model (ECM). Among the studied models, the Wagner law is executable in terms of income elasticity only in Peacock and Musgrave version and in generalized version. The results of the Bound Test indicate that long-term relationship between the variables exists in three versions of Wagner’s law. In addition, causality test with using an error correction model represents a one-way path from the income on government spending for short periods in five models. Overall, the results show that the Wagner law is confirmed in the third group of models for short-run in the Iranian economy.

Due to limitation of energy resources and its importance in the supply chain as the final products for consumers and inputs for manufacturers on the one hand, and On the other hand, due to the large fluctuations in prices and increased greenhouse gas emissions conservation policies and factors affecting supply and demand in recent decades have been considered by the scientific and policy communities.
In this study, the relationship between energy consumption, export and economic growth in the industrial sector of the Iranian economy has been tested.For this purpose, the panel data of energy consumption, export and value added of the industrial sector in the ISIC 2-digit level detail over the years 2002 to 2012 were used.
To study causality and dynamics between variables in the industrial sector the Toda-Yamamoto causality and vector error correction model were used. The results show bidirectional short-run, long-run and strong causality between variables, Except for one case that from exports to energy consumption and economic growth in the short run, there is no causality.

Strong infrastructure cause reduction in transportation costs that this reduction is a motivation for entering regional and multinational firms and attraction of foreign investment. The aim of this research is to study the effect of transportation infrastructure on foreign direct investment in Iran during 5874-2117. By using time series econometric measuring; Johansen Co integrationmethod the long-run relationship has been investigated and according to Error Correction method the short-run relations have been studied. The results show that transportation infrastructure has significantly and positive effect onforeign direct investment by coefficient of 222ه.But in short-runthere is no causative relationship between capital stock of transportation on foreign direct investment.