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:: Volume 24, Issue 2 (3-2014) ::
مجله‌ی بررسی‌ها 2014, 24(2): 205-225 Back to browse issues page
Small Area Estimation of Unemployment Rate
Faezeh Abbaszadeh *, Reza Navvabpour
Abstract:   (3222 Views)

Unemployment rate is an indicator of socio-economic situation to allocate effectively the funds and conducting employment plans or policies we need a reliable estimate of employment and unemployment characteristic in different areas of country. The national statistical offices face to the problem that the sample size of current notional surveys are not planned to provide reliable direct estimates for such small areas and the increase in size that is necessary to cover all these areas adequately is not affordable. Thus we need to use the small area estimation techniques to make reliable estimate for these areas. In model-assisted approach that relate response variable to some auxiliary variables by a model, it is possible to improve precision of the small area estimators by borrowing strength from auxiliary variables. In this article logistic regression model and multinomial logit model with random area effect are introduced for estimate unemployment rate in ostans. Next in a simulation study by using 1389 labor force survey data we compare efficiency of model-based and design-based small area.

Keywords: Direct estimate, small area estimation, logistic regression model, multinomial logit mixed model, labor force survey.
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Type of Study: Research | Subject: General
Received: 2014/03/3 | Accepted: 2014/11/24 | Published: 2015/12/6
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Abbaszadeh F, Navvabpour R. Small Area Estimation of Unemployment Rate. مجله‌ی بررسی‌ها. 2014; 24 (2) :205-225
URL: http://ijoss.srtc.ac.ir/article-1-33-en.html


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Volume 24, Issue 2 (3-2014) Back to browse issues page
مجله‌ی بررسی‌های آمار رسمی ایران (علمی - ترویجی) Ijoss Iranian Journal of Official Statistics Studies
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