The Scarf algorithm was the Þrst practical, almost surely convergent method for computing general equilibria of competitive models. The current focus of much computational research is computing equilibrium of dynamic stochastic models. While many of these models are examples of Arrow-Debreu equilibria, Scarf’s algorithm and subsequent homotopy methods cannot be applied directly since they have ...

The purpose of this article is to analyze the macroeconomic impacts of fiscal policy in Iran using a new-Keynesian Dynamic Stochastic General Equilibrium (DSGE) model. The model takes into account distortionary taxations on wage, dividend, and consumption, while government expenditures are broken down into consumption of goods and services, and investment. The model is calibrated for Iran based...

Oil price shocks are the major source of economic instability in oil exporting developing countries, including Iran. In this paper a Multi Sector Dynamic Stochastic General Equilibrium model, with emphasis on optimization of oil sector as a producing sector is designed. Furthermore, an optimizing import sector is introduced into the model by considering the price rigidity in imported goods as a...

T his study investigated the effect of international labor migration on Iran’s economy using a neo-classical growth model with the assumption of labor heterogeneity within the framework of dynamic stochastic general equilibrium model. After solving the model, the obtained equations were linearized and different values were assigned to the parameters according to Iran’s economy inform...

This study investigates monetary and financial shocks on macroeconomic variables, focusing on the role of banking intervention. For this purpose, a Keynesian dynamic stochastic general equilibrium (DSGE) model is designed for Iran’s economy that involves financial and banking sectors. The results of the model simulation show that the financial accelerator theory works in the Iranian economy. Al...