Social Economic
Sajjad Barkhordari
Abstract
Nowadays, the study of unemployment properties is particularly important as a result of the increase of this variable in recent years. This paper tests the hysteresis hypothesis in youth unemployment at the urban, rural, regional, and general level by using quarterly data in period 2000- 2018. In addition, ...
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Nowadays, the study of unemployment properties is particularly important as a result of the increase of this variable in recent years. This paper tests the hysteresis hypothesis in youth unemployment at the urban, rural, regional, and general level by using quarterly data in period 2000- 2018. In addition, this paper investigates the stochastic nature of unemployment for thirty regions of Iran. We first employ the ADF and KPSS methods to test the hysteresis hypothesis at the urban, rural and general levels. Second, we apply the IPS, Chio and Fisher methods to examine this test for thirty regions using quarterly data in the period 2005-2018. Finally, the PANIC method is applied to identify the common and idiosyncratic components of unemployment rates at the regional level. The findings of different methods give support to the existence of hysteresis for the youth unemployment at the urban, rural and general level. Also, our empirical findings provide that the evidence is favorable to the existence of hysteresis in some regions. These results implicate supply side policies are effective to reduce youth unemployment at different levels. Also, our empirical findings provide that the evidence is favorable to the existence of hysteresis in some regions. These results implicate supply side policies are effective to reduce youth unemployment at different levels.
Teimour Mohammadi; Zahra Karimi Moughari; Sahand Ebrahimi Pourfaez
Abstract
In this paper we first intend to examine the probability of falling into the realm of child labor by using conditional probability theorem. Furthermore, we will compare the extent of each factor’s effect on boys and girls using a TOBIT regression model. Finally we will analyze aspects of Iran’s ...
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In this paper we first intend to examine the probability of falling into the realm of child labor by using conditional probability theorem. Furthermore, we will compare the extent of each factor’s effect on boys and girls using a TOBIT regression model. Finally we will analyze aspects of Iran’s labor market to assess the future ahead of the children who work at present. As the results will show, the probability of not attending school conditional on being male is 0.081, whereas the same probability conditional on being female is 0.12. More probability scores are estimated in the paper. Moreover, the results from the TOBIT regression shows that in general boys are more affected than the girls by the same factors. Also, based on the macro statistics published by Iran’s Statistical Center, the graduation of numerous people from graduate schools combined with the low and slow rate of economic growth makes it quite difficult to find a decent work in the country. As a result, the skilled labor force will be content with accepting low wage jobs which are more suitable for the unskilled workers. Therefore, those who left school earlier in their lives will face several problems in the future.
