Journal of Economic Modelling
Year:2017 | Volume:11 | Issue:2 (38)|Papers Count:8

The aim of this article is reducing the custom applied softwares cost. For this purpose, this research models the cost of related softwares by means of static bayesian game and assuming the computer companies awareness toward future demand. The results show if an applicant firm, for custom-purpose software, demand its application in two or more stages, price competition of computer companies to attain future profits cause price reduction in bidding stage and its increase after bidding stages. With increase in demand stages, not only the maximum entry forestalling price, but also entry barriers being increase. Based on results, the buyer firms are suggested to complete their software requirement before purchasing and announce the producers from future demands such that the price of the software reduces.

Evolutionary game theory has been known as the most suitable tool for modeling the dynamics of strategic interactions. In this regard, evolutionary algorithms present the new approach for learning and decision modeling of bounded rationality factors. The objective of this study is providing the new model of searching for optimal strategies in iterated prisoner's dilemma (IPD) using genetic algorithm. For this purpose, by simulating competition between Iran and Saudi Arabia in OPEC oil Coalition, we used 12 strategy types over 20 runs of genetic algorithm for maximizing individual’s scores and also minimizing competitor fitness scores. Results show that “Tit for Tat” with the highest average fitness in both competitions known as the optimal strategy. The other strategis like; Soft Majority, Trigger & TF2T are next in ranking. The strategy “All D” is known as inefficient strategy in competition with the lowest productivity.

The aim of this study is to evaluate the result of the exsictance and change in consumer home bias on macroeconomic variables (such as consumption and inflation), in the event of exogenous shocks to the economy. In order to do so, seasonal data of the period 1394-1370 and a dynamic stochastic general equilibrium model has been used. After designing the model, parameters of the suggested model are estimated by Bayesian approach. Reviewing the impulse response functions in the event of exogenous shocks (such as oil revenue shock and technological shock) shows that, with home bias exsictance in the model, inflation and consumption volatility will reduced due to the increased volatility of exchange rate. Based on the results it is recommended that, In order to control endogenous variables (including inflation), In the event of exogenous shocks, especially oil revenue shock, the exchange rate should be allowed to fluctuate more.

The purpose of this paper is to investigate the effect of crime deterrence (Internal Security) on the convergence of development between the provinces of Iran (during the period 1375 to 1390, respectively). Estimation of convergence equation inspired by Solo- Swan neoclassical growth theory and using spatial econometrics indicates that while there is no a significant deterrent effect of crime index on the speed of development, convergence of development between the provinces of Iran occur. The existence of convergence among provinces, indicates the success of regional development policy in reducing regional inequality. Non-significant impact of crime in the development process could be due to the huge role of government in the development process and also the lack of enough threshold of crime density for the provinces of Iran. It is recommended that as in the past, regional development policies regardless of the crime density in the provinces continue and this insignificance, lack of seriousness in controlling crime and the causes of crime politicians not to follow.

The purpose of this paper is to identify the priorities of investment in manufacturing activities in Iran, which would lead to more value-added growth. To do it, the production function of 92 manufacturing activities of the country at the level of the four-digit ISIC code estimated by the data panel method in econometrics for the period 1996-2013. Then by calculating the elasticity of the production to the capital level in these industries and the effect of the capital changes on the value-added of them, the prioritizing has been done. The results show that industrial mining sectors and their downstream manufacturing activities in Iran would create more value-added via one unit investment than other manufacturing activities. These activities are important for the country, because they process the country's mineral products and convert them into more value-added products, and the findings of this paper emphasize the importance of the investing in these industries. Based on the results, it is recommended that investment should be targeted in industrial mining sectors and their downstream manufacturing activities.

This paper investigates the relationship between capital structure and financial performance for firms listed in Tehran stock market, by concentrate on the macroeconomic condition. In this order, we divided the firms to two groups by considering their financing Patterns, including firms that main share of their financing is through stock (the stock-nexus) and firms that main share of their financing is through debt (the debt-nexus). The GMM results show that capital structure has a negative and significant effect on firm performance. Of course, this negative effect is greater for the debt- nexus firms. Also, the happening of economic recession intensifies the negative effects of capital structure on performance in the debt-nexus firms. It means that at economic recession circumstances, the stock-nexus firms have better performance than the debt- nexus firms. Hence, we suggest that firms should apply more stock in their financing patterns to keep them in facing of economic recession.

The aim of present study is to identify the convergence of productivity in the provinces of Iran from 2007 and 2010. In order to evaluate, the researcher used the absolute and conditional beta convergence. With respect to the importance of the neighborhood effect in the study, the spatial economy method is used. The result shows that the absolute beta convergence has been approved and this coefficient has the numerical value 0.12.Thiscoefficientisstatistically significant. The conditional convergence coefficient is equal to 0.24, and the coefficient is statistically significant at the 1% level. The control variables in the conditional convergence included industrial diversification, industrial evenness, access to interstate road infrastructure, human capital. Industrial diversification and level of education have negative effect, and industrial evenness positive and access to the road infrastructure have positive effect on productivity convergence. Based on the results of the study it can be suggested that policy- makers and economic planners take more attention to the evenness industry based on the potential of each region.