The Anatomy of DSGE Models with Banking Industry for Iran's Economy

The recent financial crisis has raised several questions with respect to the financial institutions and banking industry. Hence, over the last decade the Iranian banking industry has undergone many substantial changes, such as liberalization, government regulation and technological advances. What impacts do these changes have on the policy instruments? We have answered this question in this study. To do this, we used the DSGE models. We also used two kinds of basic DSGE structures: External Finance Premium (EFP) Model and Collateral Constraint (CC) Model. Both models are simulated for Iran. Finally, we have examined the effects of monetary shocks for each model variables. We employed a Bayesian method to estimate the parameters of DSGE models. We have concluded that the prediction power of the EFP models is better than that of CC model. In addition, the results showed that the increase in liquidity raises output, inflation, investment and consumption. Moreover, it was found that the responses of variables to monetary policy in the CC model was greater than of the EFP model.