DSGE model

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 on the estimated parameters by Bayesian method. To do so, a data set from 1981 to 2016 is used. The impulse response functions illustrate that an increase in consumption tax rate has a larger impact on the contraction of the economy than wage tax rate whereas the expansionary effects of government investment is much larger than government consumption expenditures.

The aim of this paper is determination of an optimal policy rule for Iranian economy from an Islamic perspective. This study draws on an Islamic instrument known as the Musharakah contract to design a dynamic stochastic general equilibrium model. In this model the interest rate is no longer considered as a monetary policy instrument and the focus is on the impact of economic shocks on the Dynamics of Macroeconomic variables. Finally, a policy rule based on Musharakah is introduced from which the optimal policy and empirical coefficients are derived. Using data from Iran, the empirical results indicate that the policy responses of central bank to output gap and inflation are in accordance with expectations and therefore, economically meaningful. So specified instrument policy rule has to be considered as optimal in general. The optimal policy rules indicate that when the authorities pay equal attention to the inflation and output gaps the minimum loss is occurred. JEL Classifications: C61, C63, E42, E52

In this paper, we study the identification problem of parameters of Dynamic Stochastic General Equilibrium Models with emphasis on structural constraints, in order to make the number of observable variables is equal to the number of exogenous variables. We derive a set of identifiability conditions and suggest a procedure for a thorough analysis of identification at each point in the parameters space. The procedure can be applied, before DSGE models are estimated, to determine where identification fails. We also use a Monte Carlo simulation and study the effect of restrictions on the estimate. The results show that the use of restrictions for estimation, when identification is reduced, leads us to inaccurate estimates and unreliable inference even when the number of observations is large.

Understanding the dynamics of productivity shocks is instrumental if we are to identify the sources of economic growth. This paper, investigates dynamic effects of positives productivity shocks to agricultural subsectors during the period from 1991-2015, by disaggregating agricultural sector in Iran into four key subsectors (crops, livestock, fishing and forestry) through an estimated DSGE model. Our Bayesian estimation results suggest that positive productivity shocks lead to an increase in output, consumption, capital, employment and real wages and a fall in marginal costs and price indexes in all four subsectors. Comparing the results across the subsectors shows that following the shocks, generally, crops and livestock have the strongest reactions and forestry has the weakest ones. Additionally, among the variables, output indicates the highest responses to the shocks. Variance decomposition analysis reveals that agricultural fluctuations are mainly explained by productivity, monetary, preference and government spending shocks.

In this paper Basel regulation is modeled in Dynamic Stochastic General Equilibrium (DSGE) framework. For this purpose, using data from 1981-2017 for Iran, capital adequacy as an importance regulation is modeled. Results show Basel regulation has procyclical effect. According to the results of the model and according to the realities of economy and banking system of Iran, in recession, lending and credit risk increase and repayment probability decrease. Despite these conditions, capital adequacy does not increase. This confirms that risks are less relevant in determining capital. If elasticity of repayment probability with respect to capital loan ratio is zero, Basel II is more procyclical than Basel I. If elasticity of repayment probability with respect to capital loan ratio is 0.5, Basel II is less procyclical than Basel I.

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. Also, the intermediary role is confirmed by the impulse response function. In other words, economic policies can impress on macroeconomic indicators more when banks intervene in the economy. Therefore, to control the effects of economic shocks on banks' performance, it has been suggested that monetary policymakers pay attention to the important roles of financial markets in the transfer mechanism and monetary policy intensity. On the other hand, because of mandatory rules of interest rates determination, banks have to establish a commission and nonprofit services instead of sharing income to decrease the effect of economic shocks.

By utilizing the new Keynesian stochastic dynamic general equilibrium model, this paper examines the effects of credit easing policy on macroeconomic variables with or emphasizing on production. For this purpose, a model has been design including 5 sectors of household, enterprises, banks, government and central bank. Considering the dominance of fiscal policy over monetary policy in the Iranian economy, the integrated constraint of the government and the central bank has been used. The model has been estimated using Bayesian method and quarterly time series data during 1991 to 2017. The results of Impulse Response Function show that implementation of this policy has increased consumption, investment, government spending and ultimately production, which indicates the effectiveness of this unconventional monetary policy to get the economy out of recession. Also, in response to the positive impulse of the central bank’s credit line to banks and the negative impulse of legal reserves, bank facilities increase, which is in line with theoretical expectations. The impact of the negative impulse of interbank market rate has also led to an increase in production credits. 

The healthcare system holds a significance role in economic growth and development of any country. For assessing and evaluating the healthcare system, the relative prices of this sector are one of the crucial indicator. This study employs a stochastic dynamic general equilibrium model to examine the impacts of monetary, fiscal and technology shocks on the healthcare sector in the Iranian economy. The results indicate that positive monetary shock has direct impact on general inflation but tends to be reduced the relative prices of the health sector. Thus, the positive impact of this shock on the production of non-health goods is greater than the health sector. Also, positive shocks related to oil income, government health sector expenditures, and technology increase the production of health and non-health goods and have an inverse effect on inflation of this sector.