This study investigated the dynamic relationship between money, prices and output in a multivariate structure of casualty analysis in Iran for the two period of 1969 to 2012 (entire period) and 1989 to 2012 (sub-period). This statistical framework has been projected for situations where causal links may have changed over the sample period. Results of a three-variable Vector Error Correction Mod...

this study investigated the dynamic relationship between money, prices and output in a multivariate structure of casualty analysis in iran for the two period of 1969 to 2012 (entire period) and 1989 to 2012 (sub-period). this statistical framework has been projected for situations where causal links may have changed over the sample period. results of a three-variable vector error correction mod...

This article offers a comparison of short-term forecasting ability of five demand systems with an application to U+S+ meat consumption+ Four static demand systems ~AIDS, Rotterdam, AIM, and DGM! and a dynamic Vector Error Correction Model ~VECM! are considered+ We tested the equality of mean square forecast errors+ We also investigated the possibility of forecast encompassing among competing mo...

This paper investigates the relationship between financial development and economic growth for UK for the period 1965-2007 using a vector error correction model (VECM). The purpose of this paper is to examine the long-run relationship between these variables applying the Johansen cointegration analysis. Granger causality tests indicated that there is a causal relationship between financial deve...

The purpose of this study is to investigate the impact of exchange rate misalignment on inflation persistence. For this purpose, Vector Auto Regression method and Markov Switching model is used for quarterly data during 1989:4 -2014:3. The results show that, the impact of liquidity growth and exchange rate misalignment on inflation persistence is positive. On the other hand, GDP growth has a ne...

The purpose of this study is to investigate the factors that affect real exchange rate volatility for Pakistan through the co-integration and error correction model over a 30-year time period, i.e. between 1980 and 2010. The study employed the autoregressive conditional heteroskedasticity (ARCH), generalized autoregressive conditional heteroskedasticity (GARCH) and Vector Error Correction model...

Abstract In order to study energy consumption in Iran's agricultural sector, a Genetic algorithm concept was used to calculate significant factors affecting energy consumption between 1974 and 2008. Then, durability or "stability" of variables was assessed through econometric method (Augmented Dickey-Fuller test). In addition, long-term and short-term relationships of energy consumption were es...