Journal of Economic Modeling Research

Given the importance of the issue and the undeniable role of the environment in the community's life, in this research, it is attempted to test the hypothesis of the relationship between the government size and composition of government expenditure (Current and developmental) on carbon dioxide emissions in Iran during 1971-2016 based on autoregressive distributed lag approach. To better explain, the above hypothesis is based on two parts of production (production industries) and Consumable (household, commercial, general; and transportation) has been investigated. Long-run results show that despite the fact that government size does not affect carbon dioxide emissions; the current cost ratio and developmental spending ratio of government respectively have a direct (undesirable) and reverse (favorable) effect on carbon dioxide emissions. In addition, the developmental spending ratio of government in both production and consumable sectors has a reverse effect on the carbon dioxide emissions of these sectors. However, the current cost ratio of government in both sectors does not have a significant effect. Energy intensity has a direct effect on carbon dioxide emissions in general format, and although the energy intensity of the production sector has no significant effect on the carbon dioxide emission ratio in this section but in the consumable sector, energy intensity is associated with direct (undesirable) effects on carbon dioxide emissions.

The inflation rate, which measured using consumer price index, can be separated into a combination of two persistent and temporary components. This separating is particularly important in analyzing inflation rate and policies to control it. In fact, without knowing the persistent component of inflation, called core inflation, quantitative targeting of inflation may not be accurate. Core inflation as a more persistent component can be measured stripping out the transitory movements in prices. The understanding of the behavior of the national core inflation rate series needs to understand provincial core inflation since the construction of the former is based on the provincial series. So, the purpose of this paper is the estimation of provincial and national core inflation in Iran. Core inflation is unobservable variable, so it estimated using Space State Model and Kalman Filter. Results show that average core inflation in all of the provinces, as well as Iran, is less than average underlying inflation. The standard deviation of core inflation in some provinces is more than underlying inflation. While core inflation in other provinces, as well as Iran, has more standard deviation as compared to underlying inflation.

Life insurance is one of the most important economic instruments. Considering the important role of life insurance, this study investigates the life insurance capability in Iran. For this purpose, the Panel ARDL model has been used. Then, for the period 1990-2016, suitable models for the first group (Iran with the leading countries in the industry), the second group (Iran with the countries that were close to Iran in premiums) and the group Third (countries in two groups) were estimated. Based on models, the fitted value of life insurance premiums per capita in Iran is analyzed and compared as the potential or optimal level in each groups. The results showed that in each group, the actual life insurance premiums per capita in Iran are significantly lower than the optimal level. The capacity level of life insurance in Iran compared with first group is 46%, and compared with second group is about 42% and compared with third group is about 44%. The results indicate that Life insurance in our country has a high potential, and a large part of the insurance capacity in our country has not yet been fully acquired.

Speculative demand in the land and housing market has a fundamental role in raising the price of land and housing and causing a diversion and invasion of the housing sector with the aim of profit. The government, by imposing a tax on rent of land and housing return, seeks to control speculation, allocate the land resources and urban housing and make money to build the urban infrastructure. In this study, optimal taxation on the return of housing capital is analyzed in the framework of a dynamic optimization model in Iran. Then, the calibration and sensitivity analysis of the macro variables was done to change the tax rate on housing capital return. Finally, using the GAMS software, the optimal path of macro variables was simulated in different scenarios during the period (2016-2040). In steady state, the results of the sensitivity analysis of macro variables indicate that by increasing the tax rate on the return of housing capital from zero to 25%, and decreasing the tax rate on the return of business capital from 25% to zero, increased the level of business capital per capita, production per capita and consumption per capita by 50.62%, 13.47% and 25.27% respectively, and decreased the level of housing capital per capita by 31.5%. Also, the results of the simulation indicate that the imposing tax on the return of housing capital at a rate of 4% compared to the current state of the economy, has led to upward the optimal path of business capital per capita, production per capita and business capital per capita and gone down housing capital in the long run during the transition period.

Oil price wild fluctuations impact the economies of developing countries as well as those of developed ones. Focusing on OPEC’s political risks as a proxy of precautionary demand, this study aims to disentangle oil price factors using an SVAR approach for 1994Q1 to 2016Q4. We disentangled oil price shocks into political risks, supplies, global demand for industrial goods and other oil price shocks. Our results highlight that shocks originated from different sources affect oil prices differently in terms of both their lifetime and directions. Besides, it is revealed that the structure of oil market has changed due to the 2008 financial crisis, increased oil price fluctuations, changes in OPEC’s behaviour and accordingly its market power, and the advent of new shale oil technologies, thus affecting oil price sensitivities. Therefore, we found out that OPEC’s political risks affected oil markets way more significantly in 2008-2016.

This study examines the relationship between per capita income and per capita dioxide emissions in the form of a new definition of the Environmental Kuznets Curve, to investigate how corruption influences the income level at the turning point of the relationship between per capita dioxide emissions and income, in developed and developing countries the period 1994-2013 through the use of a panel data model. Our results support the Environmental Kuznets Curve hypothesis for developed countries and existence of an U-shaped relation for developing countries. We find evidence that the higher the country's degree of corruption, the higher the per capita income at the turning point for developed countries and the lower the per capita income at the turning point for developing countries than when corruption is not accounted for. Also, the share of renewable energy in both groups of countries has a negative and significant effect on per capita dioxide emissions, but the positive effect of urbanization rate in developed countries is significant and in developing countries is not.

International balance of payments is one of the most common criteria for measuring the flow of trade and capital transfers in an open economy. The three main components of this balance are: trade balance, current account (or difference between export and import of goods and services) and capital account. In this study, factor augmented vector autoregressive model (FAVAR) was used to evaluate the effects of balance of payments shocks on macroeconomic variables in the Iran economy in periode 1989-2017. The factors used in this study included economic growth, oil revenues, money growth, inflation, exchange rates and interest rates. The results show that the shock from the current account and capital account led to an increase in production, consumption and investment. The reaction of nominal sector variables such as inflation and interest rate to positive shock was also positive. Comparison of the results of this study shows that incorporation of hidden variables and factors into the model resulted in faster response of macroeconomic variables to the shocks entered by the balance of payments components.

In economic, the degree of intervention of policymakers in creation of economic stability and the response to economic fluctuations is one of the most important problems. The higher the share of efficient shocks in economic fluctuation, the lower the degree of policy response. This study evaluates the contribution of efficient shocks in creating of economic fluctuations and also estimates potential and efficient economic growth in Iran by using the seasonal data over 1988-2015 and the Dynamic Stochastic General equilibrium Approach. The results of DSGE estimation show that the high share of economic fluctuations in Iran is inefficient and monetary shocks accounted over 70 percent of economic fluctuation. Also, the estimation of potential and effective growth over 1988-2015 implies that efficient growth is smoother than potential and real growth.  The sustainability of the effect of technology shock on production indicates the importance of paying attention to the growth of technology and productivity in the Iranian economy. Therefore, focusing on long-term growth has more benefits than focusing on business cycles.

Insurance as a central risk-taking institution as well as one of the investment institutions increases economic participation, investment development and stimulating economic growth. Therefore, identification of the effective factors on the insurance penetration in developing countries seems necessary. In this regard, the present study attempted to investigate the impact of national competitiveness on insurance penetration coefficient in 20 developing countries during the period 2007-2017. The research model was estimated using panel data and generalized moment’s method in two case. In the first case, the sub-indicators of national competitiveness including basic requirements, efficiency enhancer’s factors and innovation and sophistication factors were used as key variables in the research, and in the second case, the overall competitiveness index is used as a key variable in the research model. The results showed that the effect of overall competitiveness index and its sub-indicators on insurance penetration was positive and significant. Also, the effect of control variables, including per capita income and urbanization rate on insurance penetration is positive and significant, and the effect of dependency ratio on insurance penetration is negative and significant.

The main objective of this study is modeling the dependency structure between the returns of oil markets, exchange rate and stocks of chemical products in Iran. For this purpose, the theory of Vine Copula functions is used to investigate the dependency structure. In addition to consider a linear relationship between financial markets in Iran, the nonlinear dependency structure of these markets is also estimated, and their dependence on their upper or lower tails is determined. The study period includes daily data (5 working days) from December 2008 to July 2017. Modeling of marginal distributions of GJR-GARCH models has been used. Then, using the Copula-GARCH approach, the structure of dependency between returns and the calculating of the Value at Risk (VaR) of crude oil, exchange rate and stock of the chemical product group returns have been investigated. Finally, the required back-test is performed on the basis of the loss function. The study findings show that both pairs of modeling returns are related to the same upper and lower tails. In addition, there is a same structural dependency on the distribution of the vine copula between the indexes of chemical products and the nominal exchange rate on the condition of the price of crude oil, which indicates the spillover between markets. Due to that spillover effect is the main source of financial risk, the structural dependence on the basis of vine copula functions makes accurate and reliable calculation of portfolio risk based on the VaR criterion.

In recent years, some research has focused on the importance of the origin of an oil shock for macroeconomic dynamics in both oil-exporting and importing countries. The existing literature lacks a proper open Stochastic Dynamic General Equilibrium (DSGE) framework to investigate the effect of the origins of oil shocks on macro variables in a two-country model consisting of an oil-exporting county and an oil-importing country. To this end, we develop and solve a new Keynesian DSGE model to show how the different oil shocks originating from oil supply or oil demand, might have diverse impacts on key macroeconomic variables in oil-exporting and importing counties. For the case study, we use data from Iran as an example of an oil-exporting country that trades with the rest of the world. Our DSGE model is estimated by using the Bayesian method for the period 1986:1-2017:4. The result shows that an oil shock originated from the shortage of oil supply (an exogenous decrease in Iran's oil production) decreases total production, non-oil trade, employment, inflation and consumption in this oil-exporting country. While a negative oil supply shock increases production costs and reduces production and consumption in Iran. However, an oil shock originated from an increase in the demand for oil raises output, non-oil trade, employment, consumption, and inflation in Iran as an oil-exporting country while a demand-side oil shock boosts production and increases inflation in this country.

The purpose of this article is to examine the impact of education and work experience on earning. For this purpose, Mincer’s wage equation, quantile regression estimation method and the microdata from Iranian survey of household income and expenses in 2016 have been used. Estimation results show that education returns are positive in all income quantiles, and education in lower-income quantiles has a stronger positive effect than in higher-income quantiles. Also, the average experience have a positive effect on the earnings of individuals, with a stronger effects in low-income quantiles than high-income quantiles. Gender coefficients show that female earnings in all income quantiles are much lower than males, but this negative effect was much bigger in lower-income quantiles, implying gender-based discrimination against women in low-income quantiles. According to Machado and Mata's decomposition, gender discrimination (against females) was estimated, -30% in the first decile, and -4.5% in the ninth decile. Women's education has narrowed the gap somewhat on behalf of women. According to the results, education efficiency in Iran is far lower than many other countries in the world. Therefore, it is necessary to reform educational structures, in particular to guide them towards labor market needs and economic benefits.

The effects of International financial integration on the fluctuations of variables in response to shocks are a matter of heavily concentrated literature of the business cycle in recent years. In this paper, a New Keynesian DSGE model is developed in which there is a channel for capital account changes through the foreign deposit's inflow and outflow. Then the effects of financial integration are simulated. The integration factor is defined by the percentage of the total foreign deposits absorbed by the banking system. This coefficient could change due to changes in effective domestic interest rate and global interest rate. This paper shows in presence of oil shocks, the fluctuation of production, consumption, real exchange rate and variables of the banking system such as deposits and loans, is higher in financial integration but there is no significant difference in inflation. In presence of technology shocks, there is no significant difference.

Natural resource rent affects countries’ economies through various channels. Revenues from the natural resources sales are expected to boost countries' economic growth, but the economic experience of recent decades reveals the numerous economic problems in these countries, the most important of which may be the increase in the shadow economy size. Moreover, the institutions specify the significant economic axes like resources and assets distribution in the community, so that the level of institutional quality brings about the optimal resource directing and their allocation through economic stability and affects the shadow economy volume by increasing economic stability and reducing uncertainty. The purpose of the present study was to examine the effect of natural resource rent and institutional quality on the shadow economy in 87 countries with high and low inflation rates from 2000 to 2018. The analysis method was system generalized-method of moments (System GMM). Smart PLS software was used to estimate the shadow economy. The results indicated that in both low-inflation and high-inflation countries, the increase in institutional quality has reduced the size of the shadow economy, and the rent of natural resources has had a positive relationship with the volume of the shadow economy

This study seeks to examine the impact of market shocks and economic sanctions on production and value added in the industrial sector, one of the most important sectors of the economy, during period of recession and boom. For this purpose, we examine the effect of oil shocks, currency fluctuations and economic sanctions on the added value of the industrial sector during the recession and boom period, from 1974 to 2016. The results of Markov model estimation imply that the effects of shocks are asymmetric. Positive oil shocks and currency fluctuations have positive effect on value added industrial sector during the boom period and have negative effect during the recession. The results show that if Iran's economy is booming at time t, market shocks and economic sanctions will remain in the same position with a probability of 0.3864%, and if the Iranian economy If t + 1 is in a recession, it is likely to remain at 0.6791% at t + 1. While according to results of estimating the number of years in each diet, the number of prosperity years was lower than the recession period (27 recession periods vs. 14 prosperity periods) and the rate of durability was more during the recession. Another interesting point is that Inventory of capital, inflation of production, consumption of private sector and employment during the recession had a negative relationship with the added value of industry.So, about Iran economy, it seems that establishing an appropriate theoretical relationship between these important variables influenced more by fundamental changes in Political and economic conditions than government economic policies. Thus, although the role of macroeconomic policies, including monetary and fiscal policies, is essential for the growth of value added production but also providing economic security and a secure environment for investment, expansion and diversifying financial markets and institutions, and More productive engagement with the world and major trading partners, moving towards an open economy and the use of foreign investment and developing capital market regulations with the aim of transparency and stability to increase savings and investment is essential and could provide the basis for Increasing production in the manufacturing sector.

In recent years, the development of Securities markets has contributed greatly to the flourishing and development of countries. Having a structured and dynamic capital market has been one of the basic requirements of countries on the path of development, and the role of this market in creating economic equilibrium is known to everyone. Therefore, explaining the volatility of the stock market is very important. Meanwhile, the interaction between the stock market and the exchange rate has been the subject of much research by many researchers. The exchange rate is a key variable that neglecting it can create problems and issues for the economy of any country in various dimensions. Therefore, the present study, by specifying a system of simultaneous equations, has examined the simultaneous interactions between the exchange rate and the stock market in Iran, using seasonal data from 2007 to 2017. The variables used in this system are the exchange rate, stock price index, gold price, oil price, liquidity, and consumer price index. The results of this study showed that the exchange rate has a positive and significant effect on the stock price index in Iran and as the exchange rate rises, the stock price index will also rise. Moreover, the stock price index has a statistically significant effect on the exchange rate in Iran. The results of estimating the model show that the effect of the stock price index on the exchange rate is negative and significant, i.e., as the stock price index increases, the exchange rate decreases.

This study examines the Kuznets environmental curve among D8 countries in the period 1961–2016. The Kuznets environmental curve shows the reversed U-shaped relationship between economic growth and environmental degradation. In this paper, two methods of time series estimation and smooth panel transition estimation were used to test the hypothesis of this relationship. Also, the ecological footprint index was used as an indicator of environmental degradation. The time series estimation results show that there is a nonlinear relationship in all D8 countries but the classical Kuznets hypothesis was confirmed only in Malaysia, Egypt and Turkey and in other countries the relationship was not inverted U. In Iran, the relationship between GDP per capita and the per capita ecological footprint is N-shaped, and at the GDP levels of $5864 and $10514, the relationship between the two variables will change. On the other hand, testing of the Kuznets hypothesis by using panel smooth transition models showed that there was a nonlinear relationship between GDP and ecological footprint in D8 countries with a threshold. There was a direct relationship between ecological footprint and GDP per capita when economic growth below 8.3 percent and reverse relationship when economic growth above 8.3 percent

In monetary and financial literature, financial crises include a wide range of crises. But in general, there are three important types of financial crisis, including the currency crisis. The banking crisis and the debt crisis. The aim of this study is to simultaneously analyze the occurrence of banking, debt and currency crises, known as the three crises in Iran. For this purpose, first to determine the indicators related to banking crises, currency and debt payments and using logistics and self-regression vector models during the 1980 to 2017 seasonally, we have discussed the relationship between these three crises. The results show that the three banking crises, debt and currency, affect each other. The short-term results of the VAR model showed the effect of the banking crisis and the currency crisis on the debt crisis is positive and significant, indicating an increase in the likelihood of a banking crisis and the currency will increase the debt of the government and the country. Also, the effects of banking and debt crises on the currency crisis are positive and significant. This indicates the existence of causal relationship between banking crises and debt on the currency crisis. The results of the Logit model show that the effect of inflation variables, liquidity growth and the growth of the exchange rate on the indicators of the three crises that are significant and positive in most models.

Due to pension fund problems in Iran, the multi-pillar social insurance system has been released in 2017. According to this, the first pillar is regarding to low income groups and finance through the public fund. The second pillar is defined benefit and finance pay as you go. The third pillar is defined contribution and fully funded finance. Contributions are transferred to the individual account. The pension fund directors supposed to investments the accounts and to return the Contribution fund and its returns in retirement time. The main issue is that the old age pensions are not guaranteed in this plan and face with financial risk and inflation. Due to high inflation of Iran’s economy, the main challenge of third pillar plan is the inflation. This paper is main to inflation hedging in defined contribution pension plan by Investing in Tehran Stock-Exchange. By using NARDL model and 133 monthly data up to 2020 the results show that TSE index can hedge the inflation.