Unemployment Spatial Autocorrelation in Mazandaran (Using Spatial Econometrics)

Subject Areas : Financial Economics

Zahra Mila Elmi ¹ , Mohammad Javad Saadat ²

1 - Assistant Professor of Mazandaran university
2 - Graduated Student and Economic Expert of Mazandaran university

Received: 2015-06-14 Accepted : 2015-06-14 Published : 2008-03-20

Keywords: Spatial analyze, regional unemployment, spatial dependence, spatial autocorrelation,

Abstract :

In Mazandarn province, regional unemployment rates appear to vary widely. In the year 2006, in this province, unemployment rates were 10.85 percent. This disparity is widely in county level. For example, unemployment rate at Joybar and Savadkoh counties were 6.5 and 20.6 percent respectively. Because of regional differences in unemployment rate, geographical analyze is important. In this research, by using spatial econometrics models which is applied in spatial autocorrelation and Iranian census data in the year 2006, we analyze the geographical distribution of unemployment in the 16 counties of Mazandaran province. On the basis of findings, there was positive spatial autocorrelation phenomena in Mazandaran labor market at the county level. Counties marked by high unemployment rate, as well as those characterized by low unemployment rate, tended to be spatially clustered, demonstrating the presence of ‘spatial autocorrelation’. Also, we consider the spillover effect of county's shock on the others.