Analysis of Demand for Money in Iran; An Auto Regressive Distributed Lag(ARDL) Model

This Paper investigates impacts of macroeconomic variables on the demand for money in Iranian economy using an auto regressive distributed lag model (ARDL) and the data for the period 1340-1382. The results indicate that there is a unique cointegrated and stable long-run equilibrium relationship between the real demand for money and its determinants such as: real GDP, interest rate, and inflation rate. These results reveal that the demand for money in Iranian economy is more sensitive to the real GDP than to the other macroeconomic variables (long term interest rate and inflation rate). Moreover, the long-term income and inflation elasticity of money demand is 2.620 and 0.038, respectively. This shows that money demand function is more elastic with respect to long-term income and inelastic with respect to price level. Also, adjustment coefficient for money demand is estimated to be 0.19. This means that the adjustment process for money demand would take 5 years.