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Showing 2 results for Dynamic Pseudo Panel Data

Hossein Raghfar, Mir Hossen Mousavi, Batool Azari, Mitra Babapour,
Volume 5, Issue 15 (3-2014)

One of the issues discussed in economy is the socioeconomic inequality in the society. Income mobility is another measure which indicates the degree of inequality of opportunity in a society. The extent of income mobility depends on socio-economic status of the individuals. Different socio-economic status leads to further inequality and increases inequality of opportunity. Such inequalities lead to the formation of Poverty which can be reproduced and transmitted from one cohort to the other, if not utilize the appropriate method. income mobility is measured as either conditional or absolute one. In Conditional mobility fixed effects are considered, however in absolute mobility it is not so. Fixed effect parameter that indicates the heterogeneity between individuals. According to the importance of the issue of poverty and the relation it has with inequality, this paper studies the conditional mobility in the economy of  Iran. In this study Household Survey Data collected by Iran Statistical Center from 1988 till 2011 is used. The method of nonlinear dynamic pseudo-panel has been used in order to measure income inequality dynamics. Nonlinear dynamics of income inequality for urban areas in Iran are estimated. This method enables us to track the performance of each cohort over time. The main results of this study indicate that the conditional income mobility is low and dine quality in the country has increased over time. Facing negative shocks, households cannot quickly improve their situation and return to the initial income, and at the same time, the market operation in itself cannot fix the problem. This means that the market provides more favorable conditions for people who have higher power and wealth. This leads the inequality to spread to the higher level.

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.

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