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Showing 2 results for Hekmati Farid

Dr Parviz Mohamadzadeh, Dr Firouz Fallahi, Samad Hekmati Farid ,
Volume 1, Issue 2 (12-2010)
Abstract

The Poverty measurement and its determinants are the most important factors in poverty alleviation programs. In this paper, we estimate poverty line and its dimensions by using Linear Expenditure System. To that end, we use household level data from the Statistics Center of Iran during the period of 1994-2008. We examine the main determinants of poverty for urban households using a probit model. In this model, we assess the impact of key household characteristics on poverty. The results show that the poverty likelihood decreases if the educational level of the head of the household increases. In addition, the chance of being poor declines in a household headed by a male. The age of the head of the household, the ratio of income earners in the household, and the household size are other factors that have a significant role in the probability of being poor.
Zahra Zarouni, Samad Hekmati Farid, Seyed Jamaluddin Mohseni Zanouzi, Ali Fiqh Majidi,
Volume 13, Issue 47 (5-2022)
Abstract

Why are some countries rich and others poor? And do poor countries converge toward rich countries in terms of economic performance? There are questions that have occupied the minds of economists for a long time, and the answers to these questions are the basis of the formation of economic growth patterns. During the development of developing countries, it is discussed whether institutional and structural homogeneity is a prerequisite for income convergence and performance of developing countries. Our research deals with institutional analysis in developing countries. Therefore, in this research, the formation of institutional and income convergence clusters in developing countries during the period of 2002-2020 has been investigated using the log t test of Phillips and Soule (2007, 2009). The results show that the convergence of institutional indicators among developing countries is rejected. However, the results of the cluster method provide strong evidence of the existence of converging clusters among developing countries. Also, in this study, the clustering of the per capita income of the studied countries has been done, which shows similar results to institutional clustering. which indicates that institutional clusters may be effective in forming income clusters.


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