mahdiye ramedoust; rooya Alomran; Hossein Panahian; Hossein Asgharpour
Abstract
Controlling inflation and economic growth is one of the most important economic goals that governments seek to achieve through tools such as monetary policy. To achieve their policy goals, monetary policymakers need to have a careful assessment of the effectiveness of monetary policy in the short and ...
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Controlling inflation and economic growth is one of the most important economic goals that governments seek to achieve through tools such as monetary policy. To achieve their policy goals, monetary policymakers need to have a careful assessment of the effectiveness of monetary policy in the short and long term. The purpose of this study is to investigate the effect of asymmetric shocks of monetary policy on inflation and real output variables in the period 1994:1-2016: 4 using the NARDL technique. The results of the study showed that only positive liquidity shock has a positive and significant effect on GDP and its negative shock has no significant effect on GDP in the long run. Also, according to the results, in the short run, positive and negative liquidity shocks do not have a significant effect on production, but short-term positive liquidity shocks after a break have a positive effect on GDP. Accordingly, the asymmetric effects of positive and negative monetary policies on economic growth are accepted. ....
Economic Growth
Behzad Salmani; Hossein Panahi; Robab Mohammadi Khaneghahi
Volume 5, Issue 20 , August 2015, , Pages 108-99
Abstract
The main objective of this study is to investigate the effect of health indicators (life expectancy and mortality rate) on per capita income. to do so, a panel data of 93 middle income countries over the period 1980-2011 is used. Panel data regression models including fixed effects, random effects and ...
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The main objective of this study is to investigate the effect of health indicators (life expectancy and mortality rate) on per capita income. to do so, a panel data of 93 middle income countries over the period 1980-2011 is used. Panel data regression models including fixed effects, random effects and generalized method of moments (GMM) used to determine the effect of health indicators on per capita income. The results showed that the relationship between health indicators and per capita income is not monotonic and follows an U -shaped relationship. Since all of the countries passed turning point of U - shaped curve, one can say that improving health indicators in these countries significantly increases per capita income.