Bayesian survival study on the integration impact of the unemployed at the Ain el Benian local employment agency (january 2011-july 2013)
Other Title(s)
دراسة مدة البقاء وفق المنهج البايزي حول تأثير اندماج العاطلين عن العمل في وكالة التوظيف المحلية في عين البنيان (يناير 2011-يوليو 2013)
Joint Authors
Bin Amirush, Rashid
Humaymis, Ahmad
Source
Journal of Economic and Financial Research
Issue
Vol. 7, Issue 2 (31 Dec. 2020), pp.390-410, 21 p.
Publisher
Publication Date
2020-12-31
Country of Publication
Algeria
No. of Pages
21
Main Subjects
Business Administration
Psychology
Topics
Abstract EN
In this article, the Kaplan Meier model is used in the survival analysis and according to a Bayesian conception in the context of using the posterior mean approach to determine the mean value of the risk in the study of the impact of the unemployed registered with the local employment agency of Ain El Benian (January 2011-July 2013).
This method makes it possible to probabilize the average value of the risk of chance and to compare it with the national unemployment rate; in this way, it is possible to measure the integration value of the unemployed at this agency.
American Psychological Association (APA)
Humaymis, Ahmad& Bin Amirush, Rashid. 2020. Bayesian survival study on the integration impact of the unemployed at the Ain el Benian local employment agency (january 2011-july 2013). Journal of Economic and Financial Research،Vol. 7, no. 2, pp.390-410.
https://search.emarefa.net/detail/BIM-1040764
Modern Language Association (MLA)
Humaymis, Ahmad& Bin Amirush, Rashid. Bayesian survival study on the integration impact of the unemployed at the Ain el Benian local employment agency (january 2011-july 2013). Journal of Economic and Financial Research Vol. 7, no. 2 (Dec. 2020), pp.390-410.
https://search.emarefa.net/detail/BIM-1040764
American Medical Association (AMA)
Humaymis, Ahmad& Bin Amirush, Rashid. Bayesian survival study on the integration impact of the unemployed at the Ain el Benian local employment agency (january 2011-july 2013). Journal of Economic and Financial Research. 2020. Vol. 7, no. 2, pp.390-410.
https://search.emarefa.net/detail/BIM-1040764
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1040764