Journal of Economic Modeling Research

Studying currency shocks impact on the stock market could be beneficial regarding to exchange rate fluctuations caused by various exchange policies in recent years. Therefore symmetrical or asymmetrical impacts of negative and positive dollar shockwaves in the market on indexes of chemical and basic metals industry are under investigation by weekly data collected since 2006 up to 2016 as these two industries have the most non-oil exports of Iran. First existence of long-term equilibrium relationship was examined by Pesaran Bound test and confirmed. Afterwards in addition to admitting asymmetric effect of positive and negative foreign exchange shocks on the indexes using WALD test, based on the results of the main model of the research which is the Nonlinear Autoregressive Distributed Lag (NARDL), effects of increasing in dollar rate on both indexes are positive and meaningful and the effect of its decreasing is meaningless. In addition the extracted coefficients indicates deeper effects of free dollar rate on the chemical index in comparison with index of the basic metals. OPEC crude oil, which is the control variable considered in this article has a direct and significant effects on both indicators on the short and long term.

Oil Revenue Management (ORM) has always been one of the key challenges facing the oil rich developing countries. In this regard, the main objective of this paper is to provide a dynamic macroeconometric model adapted to the state of the Iranian economy. Also, the assessment of the dynamics of the National Development Fund (NDF) and its impact on macroeconomic variables are discussed. The results of the study, based on the out of sample and the four scenarios (the existence and absence of the NDF, the change in the share of the fund from oil revenues, the Fund's floating share of oil revenues, and the scenario of the fund exposure with temporary and permanent oil shocks) indicate that, The creation of a NDF in the short term will not improve the situation of macroeconomic variables, and the positive effects of such a policy will appear in the long run. The reason for this the private sector investment was time consuming and, consequently, the increase in non-oil sector production in the economy. Nevertheless, it is possible in the short term that by designing foreign exchange or budgetary policies, the initial downturn in the level of economic activity may be reduced by the stablization of the fund. Moreover, as in the mechanism of the fund, the floating share of oil revenues (adopting an anticyclical policy in allocating oil revenues to the fund) will help to reduce the negative consequences of shocks in the short run, because the lowest initial inflationary pressures, fluctuations in exchange rates and the net debt of the public sector occurs under this scenario.

One of the factors that have a significant impact on the economic development of countries is reliance on foreign trade, and due to the dependence of countries on export earnings and the import of foreign trade, it plays an essential and indisputable role in the growth and development of different sectors. Foreign trade in agricultural products has an important role in expanding the export and import of various countries due to its high and stable value. Among the agricultural products, saffron is one of the most important export commodities of agriculture, which contributes greatly to the creation of agricultural value added. This study examines and analyzes Saffron's foreign trade network among 11 active countries including Iran in this area. The required data and statistics were collected during the years 2007-2016. Considering the geographical dispersion of the studied countries, a spatial panel model was used to analyze the factors affecting the value of saffron trade. The results of estimating OLS methods, spatial interruption and spatial error showed that import price variables per gram, export price per gram, export volume, export standards index, gross domestic product, exchange rate and government support index in agricultural sector is significant and has a positive effect on the value of trade. Positive and significant spatial dependency coefficient shows that neighborhood is an important role in increasing or decreasing trade. This means that, as long as the value of saffron trade in neighboring countries increases, the value of trade in the target country will increase as the size of the coefficient.

Considering that the improvement of energy efficiency and the resulting rebound effect in the literature of energy economics is very important, hence the present paper uses the ARDL approach to estimate the direct rebound effect of the natural gas consumption in the residential sector in Iran. For this purpose, data from the period of 1986-2016 and the methodology based on the estimation of natural gas demand elasticity according to decomposed prices have been used. The results show that, firstly, the direct rebound effect of the natural gas consumption in the residential sector exists and, as a result, energy savings due to improved energy efficiency will be less than expected. Secondly, the direct rebound effect of natural gas demand in the short run is 69% and in the long run is 78%. Also, the findings indicate that there is no backfire effect of residential consumption of natural gas. Therefore, it is recommended to apply policies to improve the efficiency of natural gas consumption in Iran's domestic sector.

Considering the health importance in development process of countries, this study investigates factors affecting various types of dental care services participation and related expenditures as one of the most important aspects of oral health. For this reason, a sample of almost 40000 Iranian households in 2016 is selected and the impact of the mentioned factors analyzed using Heckman’s two-stage model. Results indicate that household’s income and education are two importance factors that affect the choice of dentist services and their related expenditure especially in Luxury dental services such as orthodontics and Gum regenerations. Income elasticity of root canal, Inspection and dental extraction are computed 1.04 and 0.0004 respectively. Finally, insurance coverage elasticity of root canal is 0.6, while the same elasticity for inspection is computed about 0.1 and -1 for dental extraction.

Fluctuations in housing prices in recent years in Iran has always been one of the most important economic issues on the economic welfare changes affect lifetime. In this paper, the effects of housing on the dynamics of income generations age is examined. This phenomenon type of model is designed to assess the generation of data building. The model is designed household budget generations by combining cross-sectional data from households in the years 2007 to 2015 are tracking. In this research, in order to clarify the contents of the review results in four steps without shock and shock 5, 10 and 15 percent reported. The results show that the average income of households without shock reduced from 86 years to 89 and then 89 years with little speed has increased, although the increase in revenue in less than 86 years is 90 years. As well as small shock in 2007 has led to middle income households in that year and the following years than before the occurrence of shocks is reduced. While the occurrence of a great shock (15%) reduces the average household income has been greatly. This could mean that in the event of a large shock of vulnerable households are barely able to restore income dropped while repairing a small shock is possible.

There is a growing attention to models which contain a broader set of economic data. In recent decade, introduction of Factor Augmented VAR models through augmentation of traditional VAR models with unobservable “factors” has made a new route to econometric modeling. In spite of the growing number of international papers and researches which have used FAVAR approach to modeling policy shocks to various economies, there is little about Iranian economy. So the paper is an attempt to fill the gap in the literature using an FAVAR model to analyze transmission of oil and monetary shocks to Iranian economy. The model contains 35 major macroeconomic annual variables spanning from 1974 to 2014. The results show that “real sector” of Iranian economy responds positively to oil shocks up to 5 years. Also “nominal sector” of the economy responds positively to oil shocks but the responses are shorter, smaller and more volatile than “real sector” responses. Finally the model results show responses of “nominal sector” of Iranian economy to monetary shocks are positive which its duration varies between 2 and 4 years.

The existing trade models suggest that for tradable goods potential partners can be many, but eventually only one (the one offering the best price) should be selected, therefore relatively few (unidirectional) trade links will appear between countries. If the structure of international trade flows describes as a network, trade link would give rise between countries. This paper exploit recently-developed indicators based on network analysis such as node-degree, node-strength and node-disparity, and second-degree characteristics such as node-clustering and centrality indicators to investigate the pattern of international trade pattern followed by Iran and its Asian partner. The results of this study show that East Asian countries, have had a greater increase in the number of trade partners. Iran and its trading partners in Asia, is growing trade links with countries that have more trading partners. Nearest neighbor degree index show that selected countries are looking to improve relations with countries that have more similarities with his own country. Based on the centrality, it was found that only China with the centrality index of .97 is in the core of global trade network. Emirates, Taiwan, Korea and Thailand respectively with values of .94, .92, .94 and .91 are in the inner-periphery and Turkey with a value of 0.87 is in secondary-periphery. Iran with a value of 0.72 is in outside of the global trade network

The business cycles are one of the most important economic indicators that they show the changes in economic activities during time. The study of business cycles is important because the understanding fluctuations in GDP and effective factors on these fluctuations help policy makers to plan better and more efficient. The main purpose of this paper is to investigate the effects of oil price shocks on business cycles dynamics in Iranian economy during period of 2005 to 2017 by using non-linear Markov switching model with the time varying transitional probabilities (MS-TVTP). So, first, the oil price shocks were extracted in four different modes, and then the effect of them on recession and boom regimes are investigated. The results of MS-TVTP model show that business cycles are affected by oil price fluctuations and shocks in Iran’s economy. The results indicate that, in all four modes which oil price shocks were calculated, the positive shocks in oil price increase the probability of staying in boom regime. Also positive oil price shocks increase the probability of transition from the recession regime in Iran’s economy. Also, with relative comparison of the coefficients of oil price shocks in the probability of staying in boom regime and transition from recession to boom regime, it can be argued that positive oil price shocks in recession period increases the probability of transition from recession more than the boom regime. In other words, oil price shocks in recession periods have a greater effect on rotation of economic situation and increase the probability of transition from recession regime, but in the boom regime, the positive oil price shock lead to increases the probability of staying in boom regime a little.

Considering the importance of the Banking system in Iran economy and taking into account  the strategic objectives of  bank’s activities to improve their performance indicators, the main objective of the present study was to investigate the impact of internal and external factors affecting the three profitability components; including the return on assets (ROA), return on equity (ROE) and the net income margin (NIM) indicators of 13 private banks' in Iran for the period 2006 to 2016; using structural autoregressive vector panel model. For this purpose, the macro level factors responsible for profitability of banks are divided into internal components; including the quality of management, asset quality, capital adequacy and liquidity and external components such as inflation rate, interest rates, the growth of GDP, and the development of the stock market. The results indicate that the percentage of coverage of liquidity and the ratio of Non-performing loans to total loan as internal bank variables have a negative effects and the growth of GDP as the external variable has positive effect on the profitability components.

Homogeneity of groups in studies those use cross section and multi-level data is important. Most studies in economics especially panel data analysis need some kinds of homogeneity to ensure validity of results. This paper represents the methods known as clustering and homogenization of groups in cross section studies based on enviro-economics components. For this, a sample of 92 countries which produce the most greenhouse gases including CO2, clustered based on 18 criteria. Those criteria reduced to five primary components using factor analysis. Clustering of countries done by HCPC (Hierarchical Clustering on Principal Component) method. All 92 countries were clustered in 7 different groups. For each group properties of countries indicates the homogeneity of each cluster. In cross section analysis with many sections, especially analysis based on panel data, clustering, increases assurance of expected homogeneity and validity of result.

Exchange rate changes could impact on prices. Whether exchange rate pass through to prices is complete or incomplete is an interesting question in analyzing impacts of exchange rate policy. An important aspect of exchange rate pass through is in producer price index and in its sub-indices. Our aim is to analyze the effects of exchange rate changes on producer sub-indices. To do that we have used of the structural vector autoregressive (SVAR) methodology. Our data contains 1991 Q2-2017 Q1. The results show that there is a significant heterogeneity in exchange rate pass-through to producer prices. Our results showed that there is complete exchange rate pass through in industrial prices but agricultural and service prices show incomplete pass through. According to previous studies, the difference could be related to different market structure in industrial activities compared to agriculture and service activities.

Iran's economy as a developing and oil economy, needs to choose appropriate exchange rate regime is to achieve its economic goals. Some characteristics such as little diversity in production and trade, weak and underdevelopment financial markets and other features of the Iranian economy, Requires the choice of exchange rate regime be based on the features of the country. However, the choice of exchange rate regime a country, many variables affect that regardless of their choice of currency regime will be difficult and illogical. Hence, in this study using survival analysis and use of Reinhart and Rogoff approach to investigate the role of political and economic factors on the choice of a fixed exchange regime in Iran based on monthly data during the period 1980-2017. The advantage of survival analysis method it is time dependence that may exist in the occurrence of an event be included and the time can be used as a proxy for structural factors and unobservable variable in country. The results showed that political and economic variables affect the choice of the fixed exchange system in the country. The impact of political variables on the country's exchange rate regime shows that only economists are not involved in the decision on the exchange rate in Iran, and the preferences of political officials have a significant impact on foreign exchange policies.

The purpose of current paper is to survey the asymmetric effects of inflation's positive and negative shocks on inflation uncertainty in short-run and long-run. For this end, first, the Ball model (1992) has been extended through the decomposition of inflation shocks to money demand's positive and negative shocks and money supply's positive and negative shocks. Then, through using nonlinear autoregressive distribution lag model and time series data of Iranian economy from 1978 to 2017 the positive and negative effects of inflation on inflation uncertainty, which is from the exponential generalized autoregressive conditional heteroskedasticity model, has been analyzed. The results of the study show that the effects of the inflation's positive shocks on inflation uncertainty in short-run and long-run are positive and significant. In contrast, the negative shocks have not any effects on inflation uncertainty in short-run and long-run. In other words, the rise in inflation causes an increase in inflation uncertainty in Iran; whereas, decrease in inflation has not had effects on inflation uncertainty.

In this paper, we try to develop and modify the basic model of the consumption-based capital asset pricing model by adding the growth in real money balances rate as a risk factor in the household's utility function as (M-CCAPM). For this purpose, two forms of utility function with constant relative risk aversion (CRRA) preferences and recursive preferences have been used such that M1 and M2 are considered as inputs in the utility function. After estimating the systems of Euler equations using generalized moments method, MSE, MAE, and HJ criteria were used to select the most suitable model for estimating the share of variable of real money balance. The above criteria show that the model with the input of liquidity (M2) and preferences with constant relative risk aversion is the most appropriate model. The results indicate that the share of real money balance in the utility function of Iranian households is statistically significant and is about 34%. Therefore, considering the contribution of the monetary variable to the utility function which is relatively significant, it is emphasized on its entry into the utility functions used in asset pricing models.

This paper studies the relationship between housing prices and business cycles in Iran. Since housing has a dual nature, that is, both private and capital nature, it can play an important role in investment costs and economic growth and incite other manufacturing sectors in the country. In this paper, housing prices and business cycles have been used to measure housing as a collateral, which is included in corporate credit constraints as well as a shock based on observations in housing price fluctuations. In order to investigate the relationship between housing prices, investment and economic fluctuations in Iran, seasonal data for the period 1991-2016 was used. To evaluate this dynamic, a dynamic stochastic general equilibrium model has been used. The results show a movement between housing prices and business investments influenced by the dynamics of housing prices in the macroeconomic. The results also indicate that the inclusion of housing prices as a collateral could be a factor in increasing the asset value of firms and, consequently, borrowings and future investments that lead to a move between housing prices and Investment and economic fluctuations in the country.

After the recent financial crisis, especially the financial crisis 2008, This raises the important question of what is the role of monetary policy in occurrence and  prevention of the financial  instability? so, this paper investigate the dynamics impact of monetary policy on the stock market returns and instability using Structural Vector Autoregression (SVARs) model During the period  1992:q2 to 2017:q1. In this study, the effect of monetary policies via the various monetary tools used by the Central Bank on the stock market is studied. to illustrate the performance of monetary policies, the four variables of weighted interest rate, monetary base growth rate, bank reserve ratio, and growth of commercial banks' debt to the central bank have been used as monetary policy tools.  The results of the impulse response function(IRF) show that monetary policy tools do not affect the stock market returns and instability. The results of the Forecast Error Variance Decomposition (FEVD) also show that the share of monetary tools in explaining the changes in stock market returns and instability is insignificant and less than ten percent each. Although, the monetary base share is higher than the others, so the central bank's policy tools do not has a particular impact on the behavior and instability of the stock market.