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:: Volume 30, Issue 2 (3-2020) ::
مجله‌ی بررسی‌ها 2020, 30(2): 549-568 Back to browse issues page
Modeling Factors Affecting Unemployment Duration Using Survival Analysis
Fatemeh Zanjiran , Kiomars Motarjem *
Abstract:   (1962 Views)
Abstract. In many statistical studies‎, ‎we are faced with variables such as duration of unemployment‎, ‎duration of illness to death‎, ‎the lifespan of a piece‎, ‎duration of approval of a bill in the parliament‎, ‎and other similar cases‎. ‎In such studies‎, ‎the aim is to find and model the sources that affect the duration of the study period to control the mentioned period by identifying and changing the sources of risk‎. ‎In this paper‎, ‎the concepts of survival analysis have been used to model the factors affecting the duration of unemployment‎. ‎To investigate the effects of explanatory variables on the duration of unemployment‎, ‎the Cox proportional hazard model and frailty have been used‎. ‎The data of this study were collected to investigate the effect of gender‎, ‎age‎, ‎education level‎, ‎and marital status as predictor variables affecting the duration of unemployment‎. ‎The sample includes 546 people with information about the start date and end date of the unemployment period for each person from the beginning of April 1397 to the beginning of April 1398‎. ‎The results show that the length of the unemployment period is affected by variables such as education level‎, ‎gender‎, ‎and marital status‎.
Keywords: Frailty model‎, ‎cox proportional hazards model‎, ‎survival data‎, ‎censorship‎, ‎unemployment duration.
Full-Text [PDF 356 kb]   (1299 Downloads)    
Type of Study: Applicable | Subject: Special
Received: 2021/01/19 | Accepted: 2021/03/10 | Published: 2020/03/10
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Zanjiran F, Motarjem K. Modeling Factors Affecting Unemployment Duration Using Survival Analysis. مجله‌ی بررسی‌ها 2020; 30 (2) :549-568
URL: http://ijoss.srtc.ac.ir/article-1-354-en.html

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Volume 30, Issue 2 (3-2020) Back to browse issues page
مجله‌ی بررسی‌های آمار رسمی ایران Ijoss Iranian Journal of Official Statistics Studies
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