The Effect of Liquidity Volume on Economic Growth in Iran (with Time Varying Parameter Model Approach)

Regarding the importance of the relationship between volume of liquidity and GDP in manufacturing sector policy making, using a time-varying parameter (TVP) regression model and Kalman filter approach, the present research studies the GDP's response to effective variables such as capital, labor force, and in particular liquidity volume during the period of 1978-2015. The results of estimating the regression model with time varying parameter and the study of the trend of the coefficients of explanatory variables over time show that these coefficients have not been constant over the period under study and have changed due to exogenous shocks such as revolution, war, oil price shocks, applied economic policies, structural changes, international political stances, and economic sanctions. By comparing the trend of changes in the GDP growth rate with changes in the rate of growth of liquidity, it can be said that the trend of changes in these two variables are not proportionate, showing that policy making in the monetary sector has not been efficient. Therefore, it is suggested that the central bank should have an appropriate operational independence and that the rate of liquidity growth vary proportionately with the rate of GDP growth.