|
|
|
|
Search published articles |
|
|
Showing 2 results for Panel Data Approach
Dr Hossein Asgharpur, Dr Behzad Salmani, Majid Feshari, Ali Dehghani, Volume 1, Issue 3 (6-2011)
Abstract
The investigation of determinants in Gross National Saving behavior especially effect of corruption, is one of the important issues in macroeconomics literature.
For this purpose, we use the corruption perception index in dynamic panel data approach (Arellano and Bond Method). The Empirical results indicate that the corruption perception index (reduction of corruption) has positive and significant effect on the gross national saving. The main results of model estimation for two groups of oil and non-oil countries of MENA, shows that in oil countries the elasticity of gross national saving is more than of non-oil countries and reduction of corruption can be increase the national saving in oil countries.
Moreover the results of model estimation shows that the inflation rate has negative effect and real per capita income and terms of trade variables have positive and significant effects on the gross national of saving in these countries.
Mosayeb Pahlavani, Hossien Mehrabi Boshrabadi, Mahla Afshar Pour, Volume 4, Issue 16 (9-2014)
Abstract
Transportation has been one of the human primary needs and it has been found a wider range with the economic and social development, today it’s considered as a symbol of civilization. It is one of the infrastructure sections in every society that, it not only influences on the development process but also will be changed during development. So, this study investigated the effect of transportation infrastructure on economic growth in some of Iran's provinces by using of panel data model and data from 2000 to 2011. The results indicate that transportation infrastructure as a variable had a positive effect on economic growth. Moreover, provinces that had more populations could help the promotion of the economic growth by changing the underlying structures such as the transportation capacity and the quality of the transportation systems.
|
|
|
|
|
|