Shahram Mosalla; Alireza Amini; Gholamreza Geraeinejad; Ali Akbar Khosravinejad
Abstract
The study of the effect of education on total factor productivity is one of the important topics in the macroeconomic literature and educational policy. However, identifying the threshold of the effect of education on total factor productivity is of more interest to policymakers. The present study ...
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The study of the effect of education on total factor productivity is one of the important topics in the macroeconomic literature and educational policy. However, identifying the threshold of the effect of education on total factor productivity is of more interest to policymakers. The present study investigates the nonlinear relationship between education and total factor productivity for the period 1365-1397 SH (1986-2018). Average years of study have been used as an indicator of education and the Gentle Transfer Regression (STR) model has been applied to estimate the threshold. The results confirm the nonlinear effect of education levels on total factor productivity and show that the quantity of education index in a two-regime structure with a threshold of 81.86 (equivalent to the average years of study 7.82 years) has a significant effect on total factor productivity. Given that the Iranian economy has exceeded the threshold since 1390 SH (2011), increasing the quantity of education will have a negative impact on productivity. Therefore, reviewing the quantitative development of education and giving priority to improving the quality of education has more priority than in past.
Mohsen Mehr-Ara; Sajjad Barkhordari; Mohsen Behzadi Soufiani
Abstract
This paper examines the nonlinear relationship between inflation and government spending using quarterly data over the period of 1990-2013, by using Smooth Transition Regression model. Our results suggest a two regime model by using inflation, government expenditure growth, GDP growth and liquidity growth ...
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This paper examines the nonlinear relationship between inflation and government spending using quarterly data over the period of 1990-2013, by using Smooth Transition Regression model. Our results suggest a two regime model by using inflation, government expenditure growth, GDP growth and liquidity growth as variables of the model, and first lag of liquidity was recognized as transition variable. This study showed that in the regime of tight money or low growth of liquidity, government expenditure is not inflationary. In regime of low liquidity growth, this variable has low inflationary impact and probably stimulates economic growth. Inflationary expectations in this regime are more effective in causing short run inflation. In expansionary regime (high liquidity growth), the increase in money supply has more effects on inflation rather than production. So monetary and fiscal policies could be used to control inflation and stimulate aggregate demand in low regime. Also in easy money regime, monetary and fiscal discipline can be useful for inflation decrease