This study examines the dynamics of inflation and the effectiveness of monetary policy in the Iranian economy. For this purpose, a nonlinear dynamic stochastic general equilibrium model with state‑dependent features and endogenous indexation has been developed. The results show that inflation in Iran is nonlinear and regime-dependent in nature. In periods of high and stable inflation, strengthening indexation and the formation of adaptive expectations leads to self-reinforcing inflation and weakening the effectiveness of monetary policy. Also, forward-looking monetary policy rules with a medium-term horizon perform better in stabilizing expectations and reducing recession costs compared to simultaneous rules. These findings emphasize the necessity of designing state-based monetary policies and carrying out structural reforms to contain inflationary dynamics in Iran.
Abolhasani Hastiani, A., & Hasani Moghadam, R. (2026). Inflation Dynamics and Monetary Policy Effectiveness in Iran: An Approach Based on Nonlinear Dynamic Stochastic General Equilibrium Model. Analytical and Numerical Solutions for Nonlinear Equations, (), -. doi: 10.22128/ansne.2026.3365.1226
MLA
Asghar Abolhasani Hastiani; Rafi Hasani Moghadam. "Inflation Dynamics and Monetary Policy Effectiveness in Iran: An Approach Based on Nonlinear Dynamic Stochastic General Equilibrium Model", Analytical and Numerical Solutions for Nonlinear Equations, , , 2026, -. doi: 10.22128/ansne.2026.3365.1226
HARVARD
Abolhasani Hastiani, A., Hasani Moghadam, R. (2026). 'Inflation Dynamics and Monetary Policy Effectiveness in Iran: An Approach Based on Nonlinear Dynamic Stochastic General Equilibrium Model', Analytical and Numerical Solutions for Nonlinear Equations, (), pp. -. doi: 10.22128/ansne.2026.3365.1226
VANCOUVER
Abolhasani Hastiani, A., Hasani Moghadam, R. Inflation Dynamics and Monetary Policy Effectiveness in Iran: An Approach Based on Nonlinear Dynamic Stochastic General Equilibrium Model. Analytical and Numerical Solutions for Nonlinear Equations, 2026; (): -. doi: 10.22128/ansne.2026.3365.1226