Volume 30 (2023)
Volume 29 (2022)
Volume 28 (2021)
Volume 27 (2020)
Volume 26 (2019)
Volume 25 (2018)
Volume 24 (2017)
Volume 23 (2016)
Volume 22 (2016)
Volume 21 (2015)
Volume 20 (2013)
Volume 19 (2013)
Volume 18 (2012)
Volume 17 (2011)
Volume 16 (2009)
Volume 15 (2008)
Volume 14 (2007)
The Preferences of Central Bank and Optimal Monetary Policy Rules in Iran based on Backward Looking Models

fereshteh jandaghi meybodi; Mohammad Ali falahi; Mahdi feizi

Volume 26, Issue 18 , December 2019, , Pages 95-120

https://doi.org/10.22067/pm.v26i17.73879

Abstract
  The purpose of this study is to determine the preferences of the central bank of Iran and the optimal monetary policy rule using the optimal control method. so, we assumed that monetary authorities solving an optimization problem in backward looking expectation framework with regard to the constraints ...  Read More

Analysis the Non-Neutrality of Monetary Policy Effects through Nominal Interest Rate in the Generalized Sidrauski's Model in Iran's Economy: Optimal Control Approach

Noor Olah Salehi Asfeji; Yaser Balaghi Inaloo

Volume 26, Issue 17 , September 2019, , Pages 109-136

https://doi.org/10.22067/pm.v26i18.79490

Abstract
    Sidrauski's (1967) model of money in the utility function in the framework of a neoclassical growth model, has analyzed the role of money in the economy. His conclusions suggest that money is super-neutral in the steady state. The basic research problem is generalized Sidrauski's model according ...  Read More

Designing Optimum Monetary and Fiscal Policies of Iran Under Uncertainty in Micro-Founded Macroeconomic Model

Mansor Zarra Nezhad; Ebrahim Anvari

Volume 19, Issue 3 , January 2013

https://doi.org/10.22067/pm.v19i3.28548

Abstract
  In recent decades adopting unreasonable monetary and fiscal policies and uncertainty in model-making and analysis of data, has become unsatisfactory in macro goals. In a new Keynesian dynamic stochastic general equilibrium (DSGE) model to study Iran economy, uncertainty is modeled as uncertainty about ...  Read More