seyed mostafa hosseini; bijan baseri; gholamreza abbasi
Abstract
Immigration is one of main concerns of policymakers in situations of recession and low return on economic activities due to its impact on labor supply and pressure on unemployment. Over the past three decades, Iran has become a host country with a wide range of Afghan immigrants who have a long history ...
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Immigration is one of main concerns of policymakers in situations of recession and low return on economic activities due to its impact on labor supply and pressure on unemployment. Over the past three decades, Iran has become a host country with a wide range of Afghan immigrants who have a long history of mutual language, religion, culture, benefits and a common border, and are seeking to work in Iran. In this paper, the pathology of the arrival of Afghan immigrants and the intensity of the influx of immigrants on supply forces in Iranian labor market by using the ARDL model in the period 1979-2015 shows that increased immigration through the pressure on labor supply has led to an escalation of unemployment in Iran. Based on estimation results, the pressure of immigrants on labor supply was not such that wages would suffer a significant reduction in the labor market, and there was no significant relationship between immigrants and their wages in the labor market. The high correlation between the level of minimum wages and wages, the type of occupations of Afghan immigrants (mostly unskilled), the determination of wages based on the livelihood of workers, the time and area dispersion of migrants and their different capabilities are among the main factors that affect the relationship between immigrant labor supply and wages for the period under study.
Ebrahim Ali Razini; Amir Reza Soori; Ahmad Tashkini
Volume 11, Issue 43 , January 2012, , Pages 199-218
Abstract
This study investigates the relation between unemployment rate and
Government Size in Iran. For that, we have used some VAR models,
which include the following variables: government size, measured as
total government outlays as a percentage of GDP, unemployment rate,
real GDP growth rate, Inflation ...
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This study investigates the relation between unemployment rate and
Government Size in Iran. For that, we have used some VAR models,
which include the following variables: government size, measured as
total government outlays as a percentage of GDP, unemployment rate,
real GDP growth rate, Inflation rate, minimum wage. Our results show
that an increasing in the Government Size would raise unemployment
rate, and an increasing the GDP growth rate and Inflation rate would
reduce unemployment rate.
Ali Ghanbari; Seyed Hadi Makhzan Moosavi
Volume 11, Issue 42 , October 2011, , Pages 91-113
Abstract
The size of the underground economy (UE) is valuable information in the
formulation of macroeconomic and fiscal policy. According to the hidden nature of
underground economy, there will be a problem for studying and measuring it, therefore
methods of common measure have set about estimating these ...
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The size of the underground economy (UE) is valuable information in the
formulation of macroeconomic and fiscal policy. According to the hidden nature of
underground economy, there will be a problem for studying and measuring it, therefore
methods of common measure have set about estimating these activities so that it will face
with exclusive assumptions. This study applies fuzzy set theory and fuzzy logic to construct
an annual time-series for the (unobservable) Iran UE over the period 19782006. Three
major factors affecting the size of the UE, the effective tax rate, unemployment rate and the
degree of government regulations, are used. The result of this study has been compared with
MMIC model. Although these two studies have different procedures, they have generally
defensive and almost similar results in underground economy. In the meanwhile the featured
phenomenon of fuzzy values show that it can present better patterns in underground
economy. The advantage of applying fuzzy logic is twofolds. First, it can avoid the complex
calculations in conventional econometric models. Second, fuzzy rules with linguistic terms
are easy for human to understand it.
