This study aims to estimate the function of copper consumption using the Johansen approach in time series data, between 1991-2011 in Iran. The literature review of specialized consumption and demand functions shows factors influencing the consumption of copper including copper price variables, aluminum price as a substitute commodity, oil price as a complementary commodity, and industrializatio...

  In this paper asymmetric price transmission mechanism and nonlinear adjustment between producer and retail prices of milk were examined in Zanjan Province of Iran. For this purpose, a Two-Regime Threshold Vector Error Correction Model (TVECM) and a Sup-LM Test developed by Hansen and Seo (2002) were employed for checking presence of a threshold effect. Application of unit root tests indicated...

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...

Background & objectives: Despite the importance and impact of health and education on economic growth in countries, the causal relationship between education and health is important to policymaking. This study aimed to investigate the causality relationship between education and health in the short and long runs using the Vector Error Correction Model (VECM) in Iran. Method: This was an analyt...

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...

Changes in stock price will be influenced by many aspects of factors. When we are predicting stock price, it is difficult to build a determined mathematical model between stock prices and these complex factors. This paper first utilizes ε − SVM (ε − support vector machine) to build a stock price prediction model. By fitting the prediction error sequence, we find the law factors, which the predi...

The paper utilizes a comprehensive approach to threshold cointegration analyse the Israeli per capita Gross Domestic Product (GDP) growth dynamics. time-series data for years 1980–2019 are taken. study uses two-regime error correction model (TECM) test short- and long-term factors. results reveal that Research Development (R&D) expenses measured as percentage of GDP primary driving force in...