Author
Listed:
- Alinsato, Alastaire Sa¨na
- Houedokou, Wilfied
Abstract
This study, based on the theory of labour market segmentation, assesses the participation in the labour market in connection with poverty status. Using cross-sectional data from the household standard living condition survey of 2006 and k-means algorithm, the paper shows that the labour market in Benin comprises five segments. These are characterized by irregular workers, rural vulnerable independent, rural competitive salaried, urban competitive salaried, and a mixed group of protected employees and independent with capital. The paper presents a poverty profile for each segment. The rural vulnerable independent segment and that of the rural competitive salaried proved to be the poorest. The poverty status was estimated with a continuous censored dependent variable with selection controlled for by the conditional probabilities deriving from a multinomial logit. Results show the presence of unobserved factors affecting participation in segments that influence poverty status. The study suggests that poverty in the labour market is addressed by moving away from the traditional subdivision of the labour market in formal and informal markets. The study recommends that the labour market be considered as a set of heterogeneous segments in terms of poverty status and employment characteristics. This sub-division into a segment goes beyond simple formal-informal classification..
Suggested Citation
Alinsato, Alastaire Sa¨na & Houedokou, Wilfied, 2019.
"Sector of Economic Activity and Poverty in Benin,"
Working Papers
6f12da67-9423-4396-8572-c, African Economic Research Consortium.
Handle:
RePEc:aer:wpaper:6f12da67-9423-4396-8572-c333d7d6edff
Note: African Economic Research Consortium
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aer:wpaper:6f12da67-9423-4396-8572-c333d7d6edff. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Daniel Njiru (email available below). General contact details of provider: https://edirc.repec.org/data/aerccke.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.