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Showing 3 results for Monetary Policies

Sohrab Delangizan, Mohammad Karimi, Parastoo Amiriani,
Volume 17, Issue 1 (4-2017)
Abstract

This research examines the effect of monetary policies on unemployment under inflation uncertainty in Iran using the annual data during 1974-2011. The basic model is selected according to the simultaneous equilibrium of dynamic aggregate demand and supply. In addition, inflation uncertainty is calculated using the GARCH family models including ARCH, GARCH and EGARCH. The generated data from a novel model is considered as a proxy for inflation uncertainty, and Generalized Method of Moments (GMM) is used to estimate this model. The estimation results show that inflation uncertainty reduces the unemployment rate, i.e. the effect of monetary policies on unemployment is decreased under inflation uncertainty, and there is a significant and positive relationship between unemployment and inflation rates. Henceforth, an increase in inflation uncertainty leads to an increase in unemployment rate, which is in line with Friedman's theory in this field
Dr Hossein Samsami Mazreeh Akhoond, Mr Ahmad Bakhtiyari,
Volume 24, Issue 2 (5-2024)
Abstract

Introduction
The volume of the external money supply is determined by the policymaker, but the amount of money and liquidity will be influenced by the individual's decision to combine their portfolios and the behavior of banks (through lending channels and balance sheets) in the internal money supply. From this perspective, the initial change in external currency (monetary base) causes changes in the supply and demand of all types of assets (such as external and internal money) and their rate of return, and the behavior of individuals and banks determines the optimal composition of the portfolio of assets of individuals and banks and the new and balanced composition of liquidity volume. . Due to differences in the structure of the economy in different countries, the external currency itself can be created from different origins, the exogenous increase of each component of the central bank's asset column (monetary base) causes a change in the relative supply of that asset and its rate of return. Liquidity changes have different sources and are due to changes in the supply of different assets that make up different components of liquidity resources and since the components of liquidity resources are not of the same kind and originate from different processes can have different effects on the performance of macroeconomic variables. The purpose of this article is to analyze and investigate the mechanism of the effect of the components of liquidity resources on the macroeconomic variables of Iran. Changes in liquidity have different sources and are caused by changes in the supply of different assets that form different components of liquidity
sources and can have different effects on the performance of macroeconomic variables. For this purpose, a macroeconomic model by including the components of liquidity resources including net foreign assets of the central bank, net foreign assets of banks and non-bank credit institutions, net debt of the public sector to the central bank, net debt of the public sector to banks and non-bank credit institutions and Non-governmental sector debt is designed to show the relationships of economic variables in the framework of a dynamic stochastic general equilibrium model provides.
Methodology
The model presented in this research is a small open economy consisting of six sectors of households, firms, foreign sectors, banks and credit institutions, government and central bank within the framework of dynamic stochastic general equilibrium model of new Keynesians with respect to nominal and real frictions. By optimizing the objective functions of each of the above brokers, the result of the obtained economic relations is a system of nonlinear differential equations under rational expectations that are currently not empirically solvable, especially in larger patterns. But we can use approximation technique to calculate the model solution in the approximate range functionally. In this research, the set of equations is linear logarithmic using the Ahlik method (1999). In the next step, the input values of the pattern and calibration of parameters and variables have been done using the Iranian economy data during the period 2000-2020. Then, using the Dynar software, the system of equations based on the Bunchard-Kahn method is solved. The results of the statistical tests and moments indicate that the proposed model is suitable for simulating Iran's economy.
Results and Discussion
In order to evaluate the different effects of liquidity resources on economic variables, the reaction of these variables to liquidity component shocks based on instantaneous reaction functions has been investigated. The findings of the research show that the net assets of the banking system through balance of payments and net debt to the banking system through the channel of the state financial balance, if the source of liquidity is created, increases the variables of production, consumption and investment and causes mild growth or decrease of inflation and exchange rate variables. However, if the source of the liquidity creation of non-governmental debts is from the channel of facilitation, it has a decreasing effect on the variables of production, consumption and investment, and only increases inflation and exchange rate. The two sources of the net assets of the banking system and the net of government liabilities to the banking system, contrary to the source of non-governmental sector debt due to the creation of added value in the economy, have more productive effects and investment and less inflationary effects, hence, macroeconomic stability will bring.
Conclusion
The reaction of macroeconomic variables for the same liquidity growth based on instantaneous reaction functions shows that different components of liquidity sources have different effects on macroeconomic variables.  These results carry the policy message that, in addition to liquidity management, attention to the developments in liquidity resources components is also important in the field of monetary policy. Considering that liquidity has increased by about 5% in all five components of liquidity components, the effects and implications of the five components of liquidity creation sources can be examined. Comparative results indicate that for the specific growth of liquidity, the increases caused by the net assets of the banking system and the net of public sector liabilities to the banking system have more productive and investment effects and less inflationary effects, hence macroeconomic stability. Therefore, it is recommended that the monetary transition policy as much as possible prevent the increase in non-governmental sector debt which leads to increased liquidity.

Dr Sara Ghobadi,
Volume 24, Issue 3 (9-2024)
Abstract

     Introduction
The significance of inflation in the economic system and the production reduction or loss resulted from an anti-inflation policy as an integral part of inflation control policies, should never be underrated. It is critically important to study the sacrifice ratio and influencing factors which measure the accumulated losses in real production as a result of one percent permanent reduction in the inflation. It is considered as a criterion which makes it possible to somehow evaluate the effects of inflation control policies imposed by the central bank. Therefore, in the present research, the factors influencing the sacrifice ratio are identified by emphasizing the government debt in Iran and using seasonal data (1997-2021).
Methodology
In order to achieve the goal of the research, the following relationship is considered:

SRt=β0+β1(DebtGdp)t+β2Opent+β3Speedt +β4Transt+β5Itt+εt        (1)
SRt : The sacrifice ratio is equal to the cumulative amount of the reaction of economic growth to the monetary shock, while the denominator only shows the final effect of the change in inflation as a result of a monetary shock. This ratio is calculated as follows:
SR=S=0T∂yt+s∂εm1t+T∂εmt                                                                                                      (2)
Itt : Inflation targeting is defined as an optimal monetary policy. The optimal monetary policy is obtained by minimizing the social loss function according to the constraints of the monetary transmission mechanism. The inflation targeting policy is calculated as follows:
πt*=πt+yt-y+et-et-1                                                                      (3)
πt,πt*  are inflation rate and target inflation rate respectively, (yt-y)  is the deviation of the product from its potential level, et  is the exchange rate (dollar price of the country's currency).
(DebtGdp)t : The ratio of debt to GDP for governments shows their ability to repay their existing loans and repay the loans they will receive. Opent : The degree of trade openness is defined as the ratio of total exports and imports to GDP and reflects economic development and diversity.
 Speedt : The speed of deflation is equal to the ratio of the total amount of deflation to the length of time during which inflation has decreased.
Transt : The instrument of monetary policy is more transparent, which can reveal the actions of the monetary policy maker better and faster to the public. The index defined for transparency was considered as the following relationship:
TIBLt =110 -1INFibound-INFt if INFt =INFt* if INFilower-boundt <INFt Fiupper-boundif INFt INFiupper-bound or INFt ≤INFilower-bound               (4)
INFi  consumer price index, INFt* monthly inflation, INFibound  time interval of inflation in each year, INFi*  inflation was considered and calculated and the past transparency index. When transparency is high, this index is equal to one, and if inflation is very high and in other words, transparency is very low, the index above will be equal to zero.
To achieve the goal of this research, the Smooth Transition Regression Model (STR) is used.
Findings
The results obtained from the estimation of the model indicate that (DebtGdp)t-1  is the transition variable of the sacrifice ratio function. So that when (DebtGdp)t-1  reaches the threshold of 0.817, the function of the sacrifice ratio enters the second limit regime. The results indicate that (DebtGdp)t  and Opent  in both regimes have a positive effect on the sacrifice ratio and this effect is strengthened in the second regime. In the second regime, the Speedt  also had a positive effect on the sacrifice ratio. Also, Transt  and Itt  have had a negative effect on the sacrifice ratio in both regimes, but this effect has been strengthened in the second regime.
Discussion and Conclusion
In relation to the positive effect of (DebtGdp)t  on the sacrifice ratio, it can be said that an increase in government debt increases the wealth of bond holders, provided that other wealth items are constant, so the price of long-term bonds increases. The total demand and price level increase at the same time. In this case, the supply of money, which is endogenous and a function of the demand and the amount of government debt, increases in accordance with the demand for money. In this case, the price level, which is the balancing factor of the future nominal value of discounted wealth and the nominal value of public debt, increases. Therefore, the cost of deflationary policies has increased and ultimately leads to an increase in the sacrifice ratio.
Expansionary monetary policy can lead to excess demand in the economy and thus cause an increase in the general level of prices, and the pressure to increase prices can be reduced through imports and thus by changes in the balance of payments. In fact, trade openness may shift some of the inflationary pressure to the balance of payments, resulting in lower average increases in the general price level. The positive effect of increasing speed of reducing inflation, in the second regime has led to an increase in the sacrifice ratio.
In general, the improvement in the transparency index will be effective in reducing the sacrifice ratio. In case of transparency in Central Bank data, it could be potentially considered as one of the key tools in the field of monetary policy management. In fact, the transparency of information will lead to an increase in the commitment of Central Bank in dealing with inflation. It could also control inflation and ultimately lead to a reduction in the cost of deflationary policies, and sacrifice ratio decrease.
Inflation targeting by means of public announcement of official quantitative targets for the rate of inflation over one or more times horizons could be considered as a workable policy. By explicit declarations, low and stable inflation will be assumed as the main goal of monetary policy in the long run. Inflation targeting minimizes the motivation of Central Bank to show opportunistic behavior and this may increase the credibility of this regulatory institution in the loner term. Subsequently, the general public will adjust their inflation expectations in a fast state and therefore the costs of deflationary policies will decrease in return.
   


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