elahe bohloolvand; saeed farahanifard
Abstract
Financial development is one of the important and effective factors on the countries economic development and it is considered by planners and policymakers. Financial development is a multifaceted concept that, in addition to the monetary and banking dimension, includes other dimensions such as financial ...
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Financial development is one of the important and effective factors on the countries economic development and it is considered by planners and policymakers. Financial development is a multifaceted concept that, in addition to the monetary and banking dimension, includes other dimensions such as financial freedom, quality of governance and oversight, technological advances and existing institutional capacity. So this study, identifies 16 effective variables on financial development index and ranks them using the Bayesian model averaging (BMA) in Iran during 1991-2017.Inclusion probability indicates that liquidity ratio and credit risk are the most effective economic factors on Iran's financial development. Inclusion probability indicates that the size of the government, the rate of inflation, the openness of trade, the ratio of participation bonds and the size of the banking market take third to seventh rank regarding their effects on financial development model of Iran respectively. These variables have positively affected on the financial development index. Also, corruption control rank and government effectiveness rank with 44% and 36% probability of occurrence are the most effective non-economic and institutional factors in the financial development model of Iran, respectively, and affect the financial development index in a negative direction.On the other hand, there is no significant relationship between government budget deficit and financial development in Iran, due to the low probability of this variable in the model; it seems that this variable can affect financial development only through the channel of other variables included in the model
Economic Growth
Mohsen Mehrara; Sadeq Rezaei Bargoshadi
Volume 6, Issue 23 , May 2016, , Pages 114-89
Abstract
This paper identifies determinants of economic growth in Iran, by using averaging methods and annual time series data from 1974 to 2012. The results indicate that ratio of oil revenue toGDPis the most important variable affecting economic growth. Also the second and third effective variables on growth ...
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This paper identifies determinants of economic growth in Iran, by using averaging methods and annual time series data from 1974 to 2012. The results indicate that ratio of oil revenue toGDPis the most important variable affecting economic growth. Also the second and third effective variables on growth are respectively ratio of imported capital and intermediate goods toGDPand labor force which lead to an increase in growth. Endogenous growth factors which are the factors contributing to formation of human capital, not possess a large role in growth process. Investments, especially government investment affects contrary to were expected. In fact, low quality, and productivity of investments and poor allocation reduced importance of investment’s quantity. The nature of Iran’s economy has not endogenous and dynamic features and predominantly, growth has been made by injecting of exogenous sources. Emphasis on formal and informal educational orientation in the quality of human capital instead of increasing in quantity of education is recommended.
Fathollah Tari; Mohammad Shirijian; Mohsen Mehrara; Hossein Amiri
Volume 3, Issue 10 , June 2013, , Pages 106-93
Abstract
Identifying the factors that contribute to sustained economic growth of countries is the main concerns of economic researchers. The present paper employs a Bayesian econometrics approach based on Bayesian Model Averaging (BMA) method to investigate the effect of public and private health expenditure ...
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Identifying the factors that contribute to sustained economic growth of countries is the main concerns of economic researchers. The present paper employs a Bayesian econometrics approach based on Bayesian Model Averaging (BMA) method to investigate the effect of public and private health expenditure on economic growth in developing economies. The empirical findings show that public health expenditure positively and private health expenditure negatively affect on the long-term economic growth of developing countries. Also, hospital beds do have a positive important role in explaining long-term economic growth.
