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Showing 3 results for Arman

Seyed Aziz Arman, Masumeh Mirabizadeh,
Volume 3, Issue 8 (6-2012)

  The purpose of this paper is to analyze the effects of inflation on real investment in Iran. After briefly reviewing the investment theories and their situation in Iran, we consider the determinants of investment by using annual data (1958-2009).

  Results of the Augmented Dickey- Fuller (ADF) test indicate that all of the variables appearing in model are I(1). So, the results of the threshold regression model indicate that real GDP, the trade openness index and inflation rate can influence investment.

Results also show that the effect of inflation on investment follows an asymmetric adjustment process. The threshold level for the rate of inflation has been estimated 11.9 percent. If the annual rate of inflation exceeds this threshold level, it will have a negative impact on investment. But, if inflation remains below this level, not only the negative effect fades away but also rising prices can boost investment.

Aziz Arman, Mis Batool Azari Beni,
Volume 9, Issue 34 (12-2018)

Fluctuations in housing prices in recent years in Iran has always been one of the most important economic issues on the economic welfare changes affect lifetime. In this paper, the effects of housing on the dynamics of income generations age is examined. This phenomenon type of model is designed to assess the generation of data building. The model is designed household budget generations by combining cross-sectional data from households in the years 2007 to 2015 are tracking. In this research, in order to clarify the contents of the review results in four steps without shock and shock 5, 10 and 15 percent reported. The results show that the average income of households without shock reduced from 86 years to 89 and then 89 years with little speed has increased, although the increase in revenue in less than 86 years is 90 years. As well as small shock in 2007 has led to middle income households in that year and the following years than before the occurrence of shocks is reduced. While the occurrence of a great shock (15%) reduces the average household income has been greatly. This could mean that in the event of a large shock of vulnerable households are barely able to restore income dropped while repairing a small shock is possible.

Shahryar Zaroki, Mastaneh Yadolahi Otaghsara, Arman Yousefi Barfurushi,
Volume 11, Issue 42 (12-2020)

The lack of social security supports and labor market laws in informal employment has strengthened the expectation that poverty in a family in which the head of the household chooses informal employment is greater than in a family in which the head of the household works in the formal sector. Hence, this study attempts to investigate the effect of informal employment with other factors affecting household’s poverty. To this aim, by using the microdata plan of costs and incomes of urban and rural households in 2018, first, the poverty line was calculated based on 66% of the average annual household expenditures by provincial division for urban and rural areas; and poor households were identified as well. Then, according to the presented index in this study, heads of households' employment types were formally and informally determined. In the primary data processing, a comparison between households with employed heads showed that the highest poverty rates were for households whose heads work in informal employment. Next, the estimation of the research model with the dependent variable limited to the basis of pseudo-panel data and random effects in logistic regression was performed in a separate format for 13248 urban households and 13115 rural households in 31 provinces. The results showed that the informal employment of the head of the households has a direct effect on the possibility of household poverty and the rate of influence in urban areas is higher than in rural areas. Furthermore, the head of the household's education, age, and gender have an indirect effect; and the square number of age and size of the household variables have a direct effect on the probability of household poverty. In such a way that the desired effect of education and age, and the undesired effect of the household dimension on the probability of household poverty in urban areas is greater than in rural areas.

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