Investigating the Effect of Natural Resources Rents and Institutional Quality on Financial Development in Developing Countries

The existence of efficient financial institutions, proper allocation of resources and financial development are the prerequisites for achieving desired economic growth and development. Therefore, it is necessary to identify the factors affecting the financial development of countries. This study examines the impact of natural resources and institutional quality on the financial development of developing countries over 2000-2016 using systemic GMM In this study, we used three indexes for financial development: the Financial Development Index (FDI) developed by IMF, the total credit provided by banks to the private sector as a share of GDP, and the Z-score index. The rent of natural resources is measured as a weighted average of income flows from oil, gas and minerals and Good Governance Indicators are used as measures of institutional quality. The results suggest that natural resources rents have a positive and significant effect on credit provided to the private sector and Financial Development Index, but threaten the stability of the banking sector. In addition, Institutional quality indicators also show a positive effect on three indicators of financial development

The Study of the Effect of Population’s Age Structure on Consumption Long- Term Function

The study of the relationship between age structure of population with macroeconomic variables and the study of its effects on the growth and development of Iran, has remained so far not to emphasized on. Iran is experiencing an increasing rate of population growth and facing the problems caused by it, the aftermaths of which will continue well in to the next decades. This study is functional and documental. From the results, it is inferred that the marginal propensity of consumption in equations relating to age groups of population varies in the long term and with confirmation of the long term relation in the function of consumption expenditures of the private sector, the rate of balancing  is slow and variable as well. In the process of economic policy making, the age distribution of population should be taken in to account, so that the measures taken in the way of accelerating of economic growth and planning related to it will accord with the population growth and the increasing changes occurred in its structure

The study of Factors Affecting the Export of Services Case study: Export of Technical and Engineering Services

In recent decades and especially in developing countries, the trade of services has faced an increasing trend. The export of services can improve trade balance, economic growth, employment as well as development of merchandise sector. This paper uses a descriptive and analytical approach and intends to evaluate performance and factors affecting the total export of services and particularly the export of technical and engineering services in OIC selected countries by applying panel data method. The results of estimating the performance indicators and comparative advantage of technical and engineering services export indicate that between years 1994 to 2010, Iran's position among these countries has improved. In our analysis, factors such as GDP per capita, real effective exchange rates, inflow of foreign investments, communication infrastructures and also being member of two trade blocs -ECO and D8- have significant and positive effect on the total export of services and also the export of engineering services. Thus, it is necessity for governmental institutions and private sector in Iran to plan and prepare to further develop the export of services

Determinants of House Price Using Causality Relations Approach in Vector Error Correction Model: Case Study Tehran

House price changes in Iran is a category for thinking about in recent years and also different studies has been done on determinants of housing supply and demand and its price. However, this study deals with causality relation between house price and its determinant factors by seasonal data in Tehran between “1994-2006". In this study, Vector Error Correction, is used to estimate the model. Moreover, Wald test is utilized for the study of causality relation in long-run and short-run. The results show that all of the model variables can be significantly determinant of house price. In short-run, land price, the wholesale of building materials, and gold price (as substitution market) have a bilateral causality relation with house price. Forthermore, there exists a unilateral causality among the average of household income and private sector investment in house building, as complete buildings, with housing price. Nevertheless, in the short-run Granger causality between house price and interest rate was not confirmed. On the other hand, the high significance of the coeffeceint of partial error correction in all of the estimated equations as well as integrated tests with model dependent variables reveals existence of a long-run relation