نتایج جستجو برای: autoregressive distributed lag
تعداد نتایج: 297419 فیلتر نتایج به سال:
iran is one of the most concentrated areas of afghan migrants and refugees. most afghans dispersed throughout the country mixed with iranian households. the majority of afghan immigrants are typically unskilled and illegal workers. this study aims at investigating the nature of the causal relationship between afghan immigrants and two main labor market indicators, average wages and unemployment...
the objective of this study is to estimate the demand for money in iran using the autoregressive distributed lag (ardl) approach to cointegration analysis. the empirical results show that there is a unique cointegrated and stable long-run relationship among m1 monetary aggregate, income, inflation and exchange rate. we find that the income elasticity and exchange rate coefficients are positive ...
t his study investigates the factors affecting the demand for new residential buildings in urban areas of iran during 1976-2010. the demand function for new residential buildings in urban areas was estimated and then the existence of a long-run relationship among variables of this function was studied using the bounds testing of the autoregressive distributed lag co-integration procedure. the t...
the purpose of this study is finding the sensitivity of central bank independence measurements on its impact on inflation in iran. to this aim different measurements of the central bank independence were calculated using the indices of grilli et al. (1991), cukierman et al. (1992), mathew (2006) and dumiter (2009) for the period 1961-2012 . although results of correlation between cbi index and ...
This study investigates the relationship between urbanization and air pollution in Turkey. Dynamic ARDL method was used for period 1960–2015. According to findings, there is a positive statistically significant long-term CO2. If increased by 1%, carbon emissions 0.02%. There similar shocks that will occur population growth CO2 emission long term. However, negative insignificant two variables. I...
This dissertation covers the two major parts of my PhD research: i) Modeling instantaneous correlation ii) Quantifying time-lag correlation iii) Modeling time-lag correlation iv) Modeling and application of heteroskedasticity. For modeling instantaneous correlation, we studied the limitations of random matrix theory (RMT), and proposed autoregressive random matrix theory (ARRMT) which take into...
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