| dc.contributor.author | Ombede, Wycliff | |
| dc.date.accessioned | 2013-07-02T08:15:48Z | |
| dc.date.available | 2013-07-02T08:15:48Z | |
| dc.date.issued | 2012 | |
| dc.identifier.citation | Master of science in social statistics | en |
| dc.identifier.uri | http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/43885 | |
| dc.description.abstract | This project uses DOGEV model to model captivity in poverty in Kenya with reference to Kenya
integrated household budget survey (2005/2006). Education impact differently across welfare
categories and there are pockets of poverty in the educated population sub group. Effect of
household size is not the same across welfare categories. Province and area of residence was
found to be positively associated with poverty. Remittance was found to be highly negatively
associated with poverty. It is found out that there is captivity in welfare categories and a
significant correlation between welfare orderings, which renders u.s..•age of standard multinomial
or ordered Logit less appropriate in the study 'Of poverty. | en |
| dc.description.sponsorship | University of Nairobi | en |
| dc.language.iso | en | en |
| dc.title | Modeling captivity in poverty in Kenya using dogev model | en |
| dc.type | Thesis | en |
| local.publisher | School of mathematics college of biological and physical sciences university of Nairobi. | en |
