macro variables

In recent years, the financial condition index (FCI) has been used in many countries as an important index to determine the state of macroeconomic policies. For this purpose, in the present study, the effects of financial condition index on macroeconomic variables were investigated by applying the time-varying parameter factor-augmented vector autoregressive model (TVP-FAVAR) and using quarterly data during the period (1991-2019). The results indicate that the response type and response rate of macroeconomic variables were different due to the financial condition index shock over time, and this indicates the necessity of employing the parameter - variable approach. According to the obtained results , The unemployment rate and economic growth rate variables in the short and long term showed a Negative and positive response to behavioral changes in the financial condition index variable, respectively; The effects of the financial Conditions Index shock on the inflation rate variable appear after one period; However, the response of this variable to the financial condition index shock in the short and long term has been different according to the conditions prevailing on the economy of the country . Also, the financial conditions index shock in the short run has improved the Gini coefficient variable, but in the long run, especially in the late 2010s has rised the income gap. The response of the budget deficit variable to the financial condition index shock in the whole period under review was positive and the financial condition index shock has increased the government budget deficit.

The uncertainty of macroeconomic variables imposes irreversible effects on economic phenomena. Therefore, it is necessary to avoid the effects of uncertainty on macroeconomic variables. One of these phenomena is income inequality. Hence, investigating the effect of macro variables uncertainty on income distribution requires careful modeling. In this paper, using the fuzzy regression model with symmetric and asymmetric coefficients in MATLAB and GSM program environment, we investigate the uncertainty of macroeconomic variables on Gini coefficient of income deciles in Iran for the period 1995-2007. . The results show that the Gini coefficient of the right and left widths of all income deciles except for the second and eighth deciles did not fluctuate significantly until 2011. The increase in the fluctuation of the right-income declining amplitude of the second decile indicates the inequality and the effectiveness of this decile due to the uncertainty of the large variables. The dramatic decline in the amplitude of the 8th Right Decade Width fluctuation in 2009 is due to economic developments and improved income distribution. Also, the increase in the amplitude of the right and left Gini coefficients of income deciles, especially the upper deciles in the years after 1390, indicates an increase in inequality in the income distribution in these years. As such, this inequality is more severe in the tenth income deciles, which makes the rich richer. The most common criteria for MSE, RMSE, MAPE, MAE are used to evaluate the results, which shows the excellent performance of fuzzy coefficient regression model.

In the aftermath of the global financial crisis, many countries implemented credit easing policy in the recession period. The main objective of the paper is to investigate the effect of implementing credit policy on macroeconomic variables in Iran's economy.  We estimated the VAR model with seasonal data for the years 1384-1395. In the first place, the unit root test for the time series variables were examined and then, by analyzing the VAR model, we estimated the impulse-response variables.  The results indicate a positive and significant positive effect of credit easing by 0.001 per cent on GDP growth rate and by 0.07 per cent on the private investment rate and by 0.12 per cent on non-oil exports. These effects will reduce the unemployment rate by 0.0025 per cent. It also decreases the real exchange rate by 0.02%.

The central banks typically respond to inflationary fluctuations and production gaps by using monetary policy tools. The financial crisis in 2007 indicated that the monetary policy of central banks and pricing tools used to stabilize the economy have not been effective. Thus central banks utilized unconventional monetary policy to achieve financial stability the index of financial conditions indicates the financial climate affecting firms and households. This paper aims to identify and analyze the channel of monetary policy transmission and estimate the effect of the index of financial conditions on Iran's economic activity during the 2005-2017 period. Then, using the forward and backward distribution in the Bayesian VAR model, the impulse variables and immediate response to the financial condition indicator in the period under review are estimated. The findings of the paper indicate that financial conditions have negatively affected GDP and private sector investment, and credit growth has played a significant role in the financial condition index.

This study is an attempt to apply a static Computable General Equilibrium model based on Iranian Social Accounting Matrix of 1380 in order to investigate the impact of 20 percent increase in Government expenditures under floating and fixed exchange rate regimes, on macro variables in the agricultural sector and Iranian economy as a whole. The parameters of the model are obtained using Calibration method. The model contained two sectors including the agriculture and non-agriculture. The results show that the increased Government expenditures would influence variables of agricultural sector and the macro Iranian economy undesirably, and this would be more serious under the fixed exchange rate regime as compared to the floating regime. It was also revealed that the increment in Government expenditures affects agricultural and rural sectors more in an unpleasant manner than the non-agricultural and urban sectors.

This paper uses a quarterly data to study the effect of the main economic variables on the stock price index in Iran over the period 1993:3–2003:2. An autoregressive distributed lag (ARDL) approach to cointegration analysis is used to study both short- and long-run movements of stock prices in Tehran stock market. The explanatory variables include money supply, production level of large manufacturing companies, and the ratio of domestic to foreign price level, exchange rate, oil price, gold coin price, and housing price index. The results show that there is a long-run equilibrium relationship between the variables. According to our finding, the ratio of domestic to foreign price levels, the price of housing and the gold coin price index have positive impacts on the stock prices. Exchange rate and money supply have significant negative effects on the stock price index in Iran. However, we found that the production level of large manufacturing companies has not affected the stock price index. The result of our error correction model indicated that 54 percent of deviation of the stock price from its equilibrium path is corrected each period.