Determinants of contribution density of the Tunisian pension system : a cross sectional analysis
Joint Authors
Bin Barham, Mahdi
Marwani, Muhammad Ali
Source
Economic Research Forum : Working Paper Series
Issue
Vol. 2016, Issue 979-1073 (31 Dec. 2016), pp.1-17, 17 p.
Publisher
Economic Research Forum for the Arab Countries Iran and Turkey
Publication Date
2016-12-31
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Topics
Abstract EN
This paper presents an analysis of pension coverage in Tunisia based on density contribution.
This approach is justified by the fact that coverage rates usually used do not give a clear indication on effective contribution and particularly could not explain the low level of pensions in the private sector.
Using administrative data, we compute the contribution densities for the private sector most important regimes.
We then use an ordered PROBIT model to identify the determinants of this ratio.
Results show that contribution density of the most vulnerable groups is very low compared to other workers.
Women are more likely to contribute to the pension system and contribution density decreases with firms’ size.
American Psychological Association (APA)
Bin Barham, Mahdi& Marwani, Muhammad Ali. 2016. Determinants of contribution density of the Tunisian pension system : a cross sectional analysis. Economic Research Forum : Working Paper Series،Vol. 2016, no. 979-1073, pp.1-17.
https://search.emarefa.net/detail/BIM-689112
Modern Language Association (MLA)
Bin Barham, Mahdi& Marwani, Muhammad Ali. Determinants of contribution density of the Tunisian pension system : a cross sectional analysis. Economic Research Forum : Working Paper Series No. 979-1073 (Dec. 2016), pp.1-17.
https://search.emarefa.net/detail/BIM-689112
American Medical Association (AMA)
Bin Barham, Mahdi& Marwani, Muhammad Ali. Determinants of contribution density of the Tunisian pension system : a cross sectional analysis. Economic Research Forum : Working Paper Series. 2016. Vol. 2016, no. 979-1073, pp.1-17.
https://search.emarefa.net/detail/BIM-689112
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 12-17
Record ID
BIM-689112