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

Economy and Commerce

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