Journal of Economic Modeling Research

Time-Varying Transmission Mechanism of Oil Shocks in the Global Crude oil Market: A TVP-VAR Approach

Naser Khiabani

In this paper, we have utilized a time-varying parameter vector autoregressive model in order to examine the structural changes in the transmission mechanisms of oil price shocks in the global crude oil market over the period of 1985-2016. In this setting, the contemporaneous response of real oil price and crude oil production to flow oil supply shock, flow oil demand shock, and speculative demand shocks are explored. Results obtained from using Monte Carlo Markov Chain estimation method along with the identification approach proposed by Killian and Murphy (2014) reveal that the impact responses of oil production to the structural shocks follows a decreasing trend throughout the past three decades mainly due to the erosion of global oil production spare capacity. The reaction of oil production to flow oil supply shock is also estimated to be greater than other demand shocks over all dates. Moreover, the contemporaneous impact of structural shocks on real oil prices fail to show a clear pattern, however, jumps experienced in periods where uncertainty heightened and risk aversion strengthened is distinct. The reaction of real crude oil price to flow oil supply shock was more pronounced in 1990s and the period subsequent to oil price plunge in 2014. By contrast, the role of flow oil demand shock in real crude oil price fluctuations was dominant over the period of 2000-2014. While the oil production reacted more strongly to speculative demand shock rather than flow oil demand shocks, the response of real oil price to these two oil demand shocks is completely reversed.

Estimating the Dynamics of Information Risk at the Tehran Stock Exchange

Mohsen Mehrara

The aim of this study is to investigate the dynamics of information risk at the Tehran Stock Exchange (TSE). We estimated the daily probability of information based trade (PIN) for 22 stocks from 11 different industries of TSE over 4 years. The total average of the daily PIN for all stocks was 27% from 2013 to 2016. The lowest and the highest average of PIN estimates for individual stocks are 20.2% and 39.4%, respectively. In this research, the lowest and the highest daily PIN for individual stocks are estimated as 1.2% and 93.3%, respectively, which indicate that information risk varies substantially along time and there is a substantial need to use dynamic models to study this risk. Generally, it seems that the average and the maximum of information risk at TSE are much higher than in developed markets. Results showed that petrochemical and metal industries benefit from the lowest information risk and the highest is recorded for insurance and cement industries.

Identification of Factors Affecting on Credit Risk in the Iran Banking Industry of Iran Using Stress Test

Parviz Rostamzadeh

Credit risk is due to that recipients of the facility, deliberately or involuntarily, don’t have ability to repay their debts to the banking system that this risk is critical in Iran compared to the global. Therefore, the purpose of this study was to investigate the effect of macroeconomic variables on credit risk of Iranian banking industry during the 2006-2016 years and also simulation and prediction of credit risk situation in 2017 under different stress scenarios, bu using stress test. Data used in this research is time series and seasonal. In order to implement a stress test and achieve the purpose of the research, first, the effective macroeconomic variables and the rate of each one's influence on the credit risk are determined using Auto-Regressive Distributed Lags (ARDL). Accordingly, the inflation rate, exchange rate, unemployment rate and housing index in total have a positive effect and variables GDP, the interest rate of bank facilities and the volume of concessional facilities to both government and non-governmental sectors, have a negative impact on credit risk. In the following, using the stress test, simulation of critical situations and prediction of credit risk values in 2017. This was done in three scenarios with titles of mild stress, extreme stress, and hyperstress that in each scenario, different shocks are applied to the variables affecting credit risk. The results of the stress test and scenarios show that the compulsory reduction of interest rates on bank facilities in all three scenarios, initially in the second quarter of 2017, leads to a reduction in credit risk, but rising exchange rates, rising inflation, falling economic growth, as well as accumulation of past values of credit risk, has led to a rapid increase in credit risk and also in scenarios with more severs shocks, has led to catastrophic increase of credit risk in later periods in all scenarios.

The Macroeconomic Effects of Government Debt in Iran

KAZEM YAVARI

One of the major problems in Iranian economy is continuous deficit in the budget operating balance due to the non-optimal government size. The government often financed a part of this deficit by debt cearation. Government debts depends on its size and decomposition have variety macroeconomic effects. So, this study investigated the macroeconomic effects of government debt in iran during 1352-1393 by a SVAR model. the result showed that government debt to Nondepository Institutions leads to aggregate demand surplus, increasing of relative price of nontradable goods to tradable goods and decreasing of gdp. The debt to central bank increase price level and decrease gdp. Finally, government debt to other Depository Institutions leads to aggregate demand surplus, increasing of real exchange rate, decreasing of relative price of nontradable goods to tradable goods, decreasing of general price level and increasing of gdp. Also, according to the results of variance decomposition, the government can control a significant part of short run and long run macroeconomic fluctuations by managing its debts.

Investigating the Effect of Rewards on Individual Players' Efforts: A Behavioral Approach

Zahra Nasrollahi

The main goal of the study is to examine the effect of rewards on the behavior of players in a team activity. In this framework, by performing 12 sequential and simultaneous games in a laboratory environment examine the rewarding effect on players' behavior. Students from Yazd universities surveyed and the sample of 182 students is in the form of two groups, which collected in total for 2184 matches in 12 games. The results show that the increase in game rewards leads to a reduction in the player's first attempt in the game. Also, the structure of the game for simultaneous or sequential decision making does not affect the decision of the first player, but the decision of the second player is affected. In addition, the reciprocal effects of rewards and structure only affect the decision of the second player.

Evaluation of the Factor Affecting on Education Expenditure (Tobit Model Approach)

Younes Goli

One of the main goals of many households is to improve the quality of their children by increasing their education expenditure. This study investigates the factors affecting on education expenditure as measure of quality of children by using the Households’ Income and Expenditure survey dataset over 2010-2014 and utilizing Tobit models. The result of Tobit shows that with addition of one person to the number of children, amount of education expenses per child reduces about 0.0064 billion Rial. But the effect of increasing one unit in the years of education of the head and mother of the household increases the educational expenditures by as much as 0.038 and 0.0548 billion Rial respectively. Therefore Becker’s theory of child quality-quantity tradeoff is confirmed, so the household has tendency increase educational expenditure per child and improve the quality of child by decreasing the number of children. Therefore, given the increasing quality of children, the development of production infrastructure for employing high-quality labor is an important step in increasing labor productivity and economic development in macro-level.

Study of the Long Run Relationship Between Good Market Efficiency and Labor Market Efficiency in the Global Competitiveness Index and the Variables of Economic Success (Economic Growth and Unemployment) in Selected Countries of Asia

Homayoun Ranjbr

This study examines the long run relationship between the efficiency component (good market efficiency and labor market efficiency) in the global competitiveness index and the variables of economic success (economic growth and unemployment) by using new econometric methods in selected countries of Asia with the average upward Global Competitiveness Index. This study, in the framework of the Panel Vector Error Correction Model (PVECM), examines the long run relationship between variables over the period 2008-2016. Estimation of long run coefficients by using Dynamic Ordinary Least Squares (DOLS) and estimating error correction temr coefficients by using the Pool Mean Group Method (PMG) and Panel Vector Error Correction Model has been done. Estimations of the coefficients of the variables of the good market efficiency and labor market efficiency by using DOLS method show that the effects of good market efficiency and labor markets efficiency on the economic growth in the long run are positive and significant. The impacts of good market efficiency and labor market efficiency on unemployment in the long run are negative and significant. Also, the results of estimating logarithmic coefficients in the DOLS method show that the most effective variable on economic success variables (economic growth and unemployment) is related to good market efficiency. The estimation of the coefficients of error correction term by using the PMG and PVECM method show that when the economic growth rate is dependent variable, since the coefficient of error correction term for this variable is negative and significant, therefore, There is a long run relationship between the rate of economic growth, good market efficiency and labor market efficiency. When the unemployment rate is dependent variable, since the coefficient of error correction term is negative and significant for this variable, there is a long run relationship between the unemployment rate, good market efficiency and labor market efficiency.