درخت حوزه‌های تخصصی

Accurate Measuring of poverty and its distribution in various areas, in addition to being crucial for cognitive purposes, could have different policy implications and affect policy assessments. The Household expenditures criteria is typically used to measure poverty, and poverty is often assessed using a poverty line and alternative indices. A major difficulty associated with this method is, however, that it fails to take the purchasing power of money in different areas into account. In fact, households with the same amount of expenditures living in areas with higher price levels enjoy lower levels of welfare in comparison with those living in areas with lower price levels. Since the consumer price index cannot reflect the difference between price levels in different areas, this index is not useful for evaluating differences in purchasing power. In this paper, we shall first present an index which reflects price levels in the Iranian year ending in March 2012, and then we shall test the equality of poverty measures hypothesis before and after adjusting expenditures with the proposed price level index using statistical tests and the dominance approach. According to the results, and regardless of the defined poverty line, adjusting expenditures based on all poverty measures characterized by a week monotonicity, will reduce the calculated poverty measures. Furthermore, after adjustment, the ranking of provinces with respect to poverty will drastically change. This could change the share of each province in reducing poverty budgets. JEL Classification: C40, E31, I32

The efficient use of electricity in the household sector to ensure maximum welfare of households and supply of electricity required by industry as an engine of economic growth is the important goal of countries. Therefore, reducing the inefficiency of energy consumption by households is of high importance. The present study uses statistical evidence of expenditure-income of Iranian households for the period 2010–2021 to estimate the share of energy inefficiency in the households’ energy consumption differences. The results of Blinder–Oaxaca decomposition show that the share of inefficiency in creating a gap in the share of household electricity costs has decreased from 87.2% in 2010 to 76.5% in 2021. The results of Machado-Mata decomposition show that in the upper quantiles of the share of electricity consumption, the share of the difference in the socio-economic characteristics of households is more than that of the lower quantiles and this share has increased in 2021 as compared to 2010. Therefore, the role of household consumption pattern is more than the rate of access to high-energy appliances, so providing a step-by-step pricing system with an exponential rate for electricity consumption is an effective policy to reduce inefficiency in electricity consumption. Furthermore, quantile regression estimation shows that household income and size have a negative effect, and ownership and size of housing and access to household appliances have a positive significant effect on the share of household electricity costs.

In this paper we construct a modeling for detection of banks which are experiencing serious problems. Sample and variable set of the study contains 30 banks of Iran during 2006-2014 and their financial ratios. Well known multivariate statistical technique (principal component analysis) was used to explore the basic financial characteristics of the banks, and discriminant Logit and Probit models were estimated based on these characteristics. Results suggest that the model can be used as an analytical decision support tool in both on-site and off-site bank monitoring system to detect the banks which are experiencing serious problems. JEL Classifications: C49, G21, G33