Journal of Economic Modeling Research

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This study sought to evaluate the effect of changes in the composition of interregional intermediate exports and total volume of intermediate exports on the sectoral output of Golestan province and other regions using two-regional input-output model. For this purpose, at first, two-regional input- output tables for each of these region (Golestan province and other regions of country) were prepared for years 2006 and 2010 and then evaluate the effect of change in volume and composition of interregional exports on output changes in this regions using structural decomposition analysis (SDA). The results of the model for Golestan province indicate that the export of Golestan province to other regions of the country in study periods has decreased 349/09 billion Rials, and thereby total output of this province decreased 335/76 billion Rials. Also changes in composition of exports of Golestan province to other regions lead to increase 9.78 billion Rials in total output of this province.

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One of the opportunities that enable better utilization of funds to finance the country's policy makers, CEOs and financial institutions gives profit, use of barter transactions rather than cash transactions and money payment.  Although It deals with history as long as the formation of the first human set (before the invention of money and Intermediate goods), but the use of these methods to solve the problems of working capital has recently profit institutions literature and commercial transactions and has brought many benefits to users. In this article we have tried to introduce different methods of barter exchanges, clearing the way its numerous advantages explained and network productivity for economic development without growth, liquidity is provided. As a result, users could utalize the barter exchanges to development products or services and growth in competitive business environment, without affecting the growth of liquidity that causes fluctuation.

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A great portion of economic growth deals with education and development implies a gradual substitution of human quality instead of their quantity in development process. Improvement and higher education of women and their role in economic growth should be considered from this aspect. Recently, many empirical studies have evaluated the effect of higher education based on sexual separation on economic growth. The result of these studies shows that the higher education of women has a positive impact on economic growth. This paper, analyses the role of women higher education in economic growth of  some OPEC member countries and North Africa including: Iran, Qatar, Kuwait, United Arab Emirates, Saudi Arabia, Venezuela, Algeria, Ecuador, Morocco and Tunisia. This paper uses panel data over 1991-2010 period and a modified neo-classical Mankiw-Romer-Weil growth model which all levels of education are employed. The results of this study indicate that women higher education has positive and significant effect on GDP per capita in these countries which shows the high importance of women higher education in expediting the economic growth of the studied countries.Bearing in mind, the empirical and statistical description in this study, it appears it is necessary for these countries to invest in higher education of women proportionate to the higher educations by means of adopting suitable policies for scientific development necessary for economic growth.

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In recent years “Financial Conditions Index" (herein FCI) has been used as a key indicator of the monetary policy condition. Considering the importance of this index, the purpose of the present research is to reach a comprehensive index that includes all the monetary transmission mechanisms based on the Iranian economy. To this aim, a weighted average of the banking interest, real exchange rates , credits and price of other assets (namely the stock price index, and housing price index ), need to be calculated. The weighted average of the variables are obtained by estimating the, backward-looking aggregate supply and demand equations for Iran. In the next stage, in order to test the validity of the obtained index, and because of the importance of price stability for the central bank, the predictive power of the index from inflation in Iran was examined using Non-Nested Tests and Root Mean Square Error (RMSE). Seasonal data series are collected for the period of 1991-2012.The findings of this study show that the weight of housing price variable is higher than the other variables, whilst, the stock price index coefficient was not significant in any lag. Moreover, the results of second stage tests, indicate a good predicative power of the FCI index from the inflation in Iran.

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This paper considers spatial distribution of industrial activities and effective factors on such a distribution. Ellison and Glaeser’s spatial concentration index, has been used for measureing spatial distribution of industry. This index has been calculated by Ad-value variable for 30 provinces of Iran and for period of 2006-2013. So, The spatial panel data model has been used in order to stimate impact of effective factors on spatial concentration. Results of this paper, show that distribution of industrial activities between provinces is strongly unequal. Azarbaijan Sharghi, Markazi, Ghazvin and Tehran provinces by 0.03, 0.04, 0.05 and 0.06 for EG index, are the most industrial provinces respectively. Boushehr, Hormozgan and Ilam provinces with 0.68, 0.28 and 0.26 for EG index are the worst industrial provinces. Also, Results from estimating model show that spatial dependance of provinces is equal to 0.31. Increasing return to scale and transportation costs, each one by 0.07 and 0.001 for coefficient in model, are effective on spatial distribution of industry.

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The current study is an attempt to estimate markup and return to scale of 19 two-digit ISIC manufacturing industries of Iran, simultaneously, in accordance to Solow Residual and Structural approach, during the period 1995-2007. Based on Solow Residual approach, the neoclassical assumption of constant return to scale is approved within 95% of manufacturing industries; however in 84% of industries the price was higher than marginal cost significantly. Based on structural approach, 53% of manufacturing industries of Iran are experiencing increasing return to scale significantly; however, in 79% of industries, the price is higher than marginal cost. According to the criteria share of the cost of inputs in income as a theoretic criteria for return to scale-markup ratio, in 53% of cases, structural approach estimates this ratio closer to the reality.

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Legal and economic dimensions of sanctions, and also its diversity make it difficult to evaluate the contribution of the sanctions on macroeconomic variables; besides quantification of sanction by itself is a major problem. As the first step in this study, we try to offer a new index for representing the sanction in economic modeling. For this purpose by applying the exploratory factor analysis approach, we try to measure the mentioned index and produce the time series for the period of 1978-2010; here twelve variables which are mainly affected by the sanctions included in related process. Then, applying three-stage least squares (3SLS) method for a small macroeconomic model, the contribution of the sanctions on major economic variables such as economic growth, trade, investment and employment are evaluated. According to the findings of this study, the direct effects of sanctions are only significant in growth and term of trade equations. It seems also that there is a direct relationship between severity of the sanctions and its impact on major economic variables.

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Sporting success in international competitions is influenced by various factors. Exercise can identify the success factors in the development of sports programs for the development of human resources with a view to effective economic and social factors. This study investigates the impact of socioeconomic factors on the countries sports success at the Olympic Games.In this regard ,Using performance data of all the countries participating in the Olympic Games gold medal, silver and bronze medals during the years 1996-2012 in the form of a descriptive one tries to approach the factors affecting the success of the country in the Olympic Games of logit econometric model to be evaluated through.The results indicate that the net effect of human development indicator variables, number of participants, the trade balance, GDP, Sports performance period to increase the likelihood of successful sport in the Olympics. The population insignificantly negative impact on the sports chances of success, The results of this study showed that the most effective human development index of the sport in the Olympics has been an increase in the probability of success.

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Energy as one of the most important factors of production, as well as one of the most important marginal products, has effential role in trade and economic development.The importance of energy has increased after the two oil crises in 1970’s. The relationship between energy and trade is an important topic to study for several reasons. If energy consumption is found to Granger cause exports or imports, then any reductions in energy consumption, coming from say energy conservation polices, will reduce exports or imports and lessen the benefits of trade. Energy conservation policies which reduce energy consumption will offset trade liberalization policies designed to promote economic growth. This places energy conservation policies at odds with trade liberalization policies.In this regard, the impact of trade on energy consumption through energy applications in the production process of import and export goods and their transportation is included. This study uses panel data to investigat effect of trade on energy consumption in D8 countries (Bangladesh, Egypt, Indonesia, Iran, Malaysia, Nigeria, Pakistan and Turkey) during the years 1990 to 2014. The results indicat that foreign trade has a significant and positive impact on energy consumption. The findings show a significant and negative impact of energy prices on energy use.

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A wide range of banking activities And its close relationship with the economy is an important reason for the importance of the reliability of banking system and its influencing factors. Accordingly to play the optimal role, banks face several challenges. Optimal management of assets, liabilities And Evaluateing the risks associated with them Such as credit risk and liquidity risk is considered as one these challenges this article attempts to define goals and optimally manage assets and liabilities with a focus on determining the optimal amount of cash and liquidity risks. According to multilateral objectives, Constraints in the banking system And the experiences of the past years, the model used in this article is Fuzzy goal programming with fuzzy constraints. The proposed model has the ability to provide optimal amounts of each of the items of the balance sheet for the coming years in accordance with previous years. To reach the final answer nine Goals and more than thirty fuzzy limits used in the model. Goals presented in the paper Are: Maximizing profits, Observing the limits of the deposit facility, Improving the share of bank deposits of the banking system, Increasing the amount of balance sheet items, Increasing the amount of some items assets to total assets, Observing the Capital adequacy limits, Reducing the volume of investment in tangible fixed assets, more Receivables than debts from central, more Receivables than debts from institutions Also in order to achieve the importance of each of these goals an Analytic Hierarchy Process is used. Finally, the results in crisp and fuzzy model are compared and improvement of results in fuzzy model is observed.

 

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The main objective of this study is: investigate the effect of government size on inflation rate in the 34 countries of the developing countries during the years 1998 to 2013. For this purpose, the index of total government spending as a percentage of GDP, used as government size and then the model of this study has been estimated by using the panel data technique.
The results of this study imply that the government size has had significant negative effect on the inflation rate and also the variables: liquidity growth rate, growth rate of import price and interest rate have had positive effect on the inflation. Furthermore, the growth rate of GDP, with a difference of degree has significant negative effect on inflation. Hence, the most important result of this study is the majority of the general government- spending in Developing countries has led to the Construction costs and investment in infrastructures that has strengthened. The supply side of the economy of these Countries that The origin of this effect can be the retarded economic structures of these countries.

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Exchange rate is one of the key indicators affecting macroeconomic performance, and inflation is one of the most important indicators which represents the macroeconomic performance. The aim of this paper is to identify the relation between these two important economic variables. By using the model of structural time series and Kalman Filter algorithm the effect of exchange rate gap (the difference between official exchange rate and parallel market exchange rate) on inflation in Iran has been investigated during 1961- 2012. The results of this paper indicate that exchange rate gap has a significant positive impact on inflation in Iran, so that 1 percent increase in exchange rate gap lead to 3 percent increase in inflation in Iran.  These results have approved the single currency policy to control inflation in the country.

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The aim of this paper is decomposition of total factor productivity (TFP) growth to four factors technological progress, technical efficiency, allocative efficiency, scale effects in 21 manufacturing industries, using a panel data technique, during 2000-2011.Findings show that the production elasticity related to labor and capital is o.57 and 0.13, respectively and economy of scale is less than unit. Also, results indicate that productivity growth is positive only in 8 industries that include electronics, communications, paper, medical and optical industries. The decomposition reveals that, TP has been the main driving force of productivity growth- especially in chemical, non-metal mineral, primary metal, motor vehicles, trailers and semi-trailers- while negative efficiency changes, allocative efficiency and scales effects observed in certain industries have contributed to reduce average productivity growth.

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Over past decades there have been conflicting views on whether raising the minimum wage increases inflation. This study updates and expands earlier research into this subject and fills a void in the empirical literature by studying that the impacts of the minimum wage on inflation could be altered in the different economic situations. In framework of cost push inflation theoretical background, the direct and indirect effects of minimum wage changes on wage and inflation can be seen as taking place in several stages. The overall wage inflation outcome can, of course, also depend on the position of the economy in a particular stage of the business cycle. To examine this hypothesis, we used a Markov regime-switching model to study the impact of minimum wage increases on inflation over expansion or recession situations in Iran during the 1973- 2013 period. The comparison between a single-regime and regime shifting models provides the similar results for the sample period. The most important finding of this study is that there is no significant impact of minimum wage increases on inflation regardless of economic situations. However, the results show that the inflation shock positively impacts minimum wage in both models. In sum, our results provide a significant contribution to the empirical literature by verifying that the effectiveness of minimum wage on inflation is not dependent on the business cycle economic situation. The main policy implication for Iran's economy deriving from this study is that the minimum wages should be increased to compensate wage workers for real-wage decrease caused by inflation, without any concern about its inflationary effects.

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The main purpose of this study, is to evaluate the effect of diversion earnings forecast and earnings realized on returns stocks in Tehran Stock Exchange. In fact, this research aims to examine the diversion of earnings resulting from the diversion of corporates managers forecasts earnings, what impact these diversion of earnings have on the returns of stock price. To achieve this, 194 companies listed in the Tehran Stock Exchange selected in the period of 2005-2013.
In this study, two groups of companies experienced the highest returns and lowest returns over the period studied, have been selected. Multi-factor model of Fama and French (1993) was used as the theoretical basis. The results indicate that forecasts of companies have experienced highest returns in comparison with lowest returns are more cautious and accurate than prediction of their future earnings. Changes in earnings realized and Tehran Stock Exchange index returns have positive and considerable relationship with stock returns as well, but these relationships for companies with highest returns are stronger than companies with lowest returns.

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One of the main issues and challenges of managing health care system in Iran, is the issue of inequities in access to health services. Theoretical studies and empirical evidences indicate that implementation of the referral system and family physician plan is one of the main strategies to overcome inequity in the health and appropriate using of scarce resources in this area. But for successful execution of the family physician, it is necessary to identify important determinants affecting the decisions of participants in this plan using scientific methods and studying, and health policy makers should design a program pack that matches preferences of the target population to increase the possibility of its successful implementation. This study used Discrete Choice Experiment (DCE) to identify important determinants affecting the decisions of physicians.
Results show that increase in net payments to general practitioners, nearer workplace to residence, allocation of quota to get the degree of expertise, existence of housing facilities and deadheading pay, less covered population and paying to physicians in less period of time may increase the utility and satisfaction of physicians and therefore, possibility of their participation and entry to the plan, as expected.
According to the results, the attribute "place of work" are significantly more important than the other attributes.

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In this study, the effect of fare changes on commuters' motivation to change their travel time in the Tehran subway during peak hours was evaluated. A sample of 432 Tehran metro passengers who commuted between 6:30 and 9 am was studied, and their preferences were examined. The main question in this article is whether fare changes could affect passenger behavior. We evaluated fare changes and influencing factors using discrete choice models, including Probit regression models. The results indicated that commuters who received an allowance from their workplace were more willing to change their departure time. People with flexible schedules were not attracted to fare changes, as they perceived little benefits from this adjustment. The findings of this study suggest that increasing fares during the morning peak is not an effective measure. They indicate that people are more motivated when being rewarded rather than punished. Moreover, some commuters might decide to use a different mode of transportation for commuting instead of taking an earlier subway trip, which would have a negative implication for morning transportation.

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The present article studies the interactive relationships between oil price volatility and industries stocks of basic metals, petroleum and chemical products by using Vector Auto Regressive (VAR) and Multivariate Generalized Autoregressive Conditional Heteroskedastisity (GARCH) models from March 2004 to March 2015 empirically . In this research, the VAR-GARCH model is proposed, which is developed by Ling and McAleer (2003). The model survives the return and volatility problems among the considered series and this is the VAR-GARCH advantage. The results show that there are Average effects between oil market and stocks market of basic metals and petroleum products, But this effects are not true for chemical industry market.  The volatility effects between world oil price and chemical and basic metals industry markets  is not existed, but between oil market volatility and petroleum products stock volatility, Significant negative relationship is existed. There for, the investors should reduce their portfolios basket dependences on oil price as much as possible.

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Always new technologies exports have been regarded as a competitive advantage and it implies the dynamism and cohesion of the economy and its special position in the global markets. Lack of innovation is one of the main factors affecting the country's high-tech exports. And until innovation and training to use of knowledge do not improve, efficiency and effectiveness of other production factors will remain low. So, the aim of this paper is to evaluate the effect of innovation on high technology exports in selected developing and developed countries during the period 2007-2013, using panel data approach and simultaneous equations system. Estimates of general model in developing countries expresses that the coefficients of global innovation index, accumulation of FDI inflows and GDP is positive and significant and coefficient of governance index is positive and meaningless. And in developed countries, coefficients of global innovation index, accumulation of FDI inflows, GDP and governance index is positive and significant. Therefore, it is necessary to improve the innovative environment, by changing the policy making in the resource-based economy moving towards knowledge-based economy by the alignment of macro-economic policies with scientific and research policies, in order to strengthen the relationship between industry and academia. So based on the current needs, the productions and technologies of knowledge-based industries will change.

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The bubble of Asset Price is the deviation of the asset price from its fundamental value. Since the many of the financial crisis arise from bursting bubble of financial assets, the explore of bubble behaviors in these markets and the early detection for the prevention of adverse economic consequences is important. Considering the criticisms of conventional tests for detecting price bubbles and also the importance of the subject, in this study, we have considered the new methods proposed by Phillips, et al. (2011, 2012) based on Right-Tailed Augmented Dickey-Fuller (RTADF) tests. In this regard, in order to testing explosive behavior and multiple bubbles and determining bubble periods in Iranian informal exchange market, we have applied the tests of SADF and GSADF according to monthly data for the nominal exchange rate from 2002:04 to 2016:03. Since the explosive behavior in nominal exchange rate might be driven by the its fundamentals, to comment on the existence of rational bubbles in the exchange market, we have evaluated the ratio of the nominal exchange rate to the relative prices of tradable and non-tradable goods. Based on the obtained results, the Iranian foreign exchange market has been experienced explosive behavior and multiple bubbles in the period of under study. Moreover, the relative prices of traded goods explain some explosiveness in the Iranian exchange market. Our findings suggest that the explosive behavior in nominal exchange rate from 2008:10-2008:12, 2012:01-2012:03 and 2013:09-2013:11 was because of rational bubbles in exchange rate and in other periods was driven by the relative price of tradable goods. Therefore, it is suggested to control the sharp exchange rate movements, in addition to bubbles, fluctuations in prices of traded goods market require more attention. Also, due to the possibility of bubbles repetition, the GSADF test is the better test to detect bubbles.