نتایج جستجو برای: in iran using autoregressive distributed lag ardl bounds testing procedure and granger
تعداد نتایج: 22143231 فیلتر نتایج به سال:
This study analyses some political factors determining budget deficit in Pakistan. It examines the short and long-run relationship between the Budget deficit, democracy and cabinet size for Pakistan’s economy. The bounds testing approach to co-integration and (ECM) error-correction models, developed within an autoregressive distributed lag (ARDL) framework is applied to annual data for the peri...
This paper investigates whether energy consumption, population density, and exports are the main factors causing environmental damage in China. Using annual data from 1971–2018, unit root tests applied for stationarity analyses, Autoregressive Distributed Lag (ARDL) bounds used long-run relationships between variables. A Vector Error Correction Model (VECM) Granger approach is employed to exami...
This paper examines the long run cointegrating relation and short run dynamics among carbon emissions, energy consumption, economic growth, urbanization, financial development and openness to trade in Bangladesh by using autoregressive distributed lag (ARDL) bounds testing approach of cointegration. Empirical results for Bangladesh over the period 1975-2010 suggest an evidence of a long-run rel...
This paper contributes to the literature by empirically examining whether the influence of public debt on economic growth differs between the short and the long run and presents different patterns across euro-area countries. To this end, we use annual data from both central and peripheral countries of the European Economic and Monetary Union (EMU) for the 1960-2012 period and estimate a growth ...
The nexus between foreign direct investment and economic growth has long been among the most debated issues in macroeconomics. Some studies find a positive link two factors, but others no evidence. This current research fills gap by analysing causal Indonesia for period 1970-2018. as developing country is one of largest recipients FDI flow; hence study on impact very much important. employs con...
This study investigates an adjustment process in the bilateral trade balances of five countries within the Caribbean, with their largest trading partner, namely the United States. Unlike previous studies, this study controls for oil prices which play a vital role in the countries’ trade balances. A panel econometric technique was utilized using annual data over the period 19802012. Analysis of ...
T his paper empirically examines the relationship among exports, foreign direct investment, current account deficit and economic growth in Pakistan during the period 1975-2016.We adopted the autoregressive distributed lag (ARDL) approach to co-integration together with ECM techniques to trace the long-run as well as the short-run relationships. The results demonstrate the existence o...
T he main objective of this paper was the investigation of the impact of the trade openness on economic growth in Pakistan. We have been employed both the Johensen and Autoregressive Distributed Lag (ARDL) Co-integration together with ECM Techniques for the period 1975-2016. The empirical estimated results are the sound evidence that there exists a short...
This study aimed to examine the long and short-run relationships between credit market development agricultural production using Autoregressive Distributed Lags (ARDL) Bounds test for cointegration, as well direction of causality by Granger test. The results ARDL revealed that institutional had a significant long-run effect on in all countries under examination, except Tunisia; is: Benin, Kenya...
This article examines the relationships between government expenditures (current and capital) and private investment over the period of 1959- 2007 in Iran. To examine the long and short run relationships between model variables, the dynamic auto regression approach with distributed lag (ARDL) and the standard Granger causality relationship has been used. Findings indicate that based on long and...
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