WOMEN INVESTORS' BUSINESS SUCCESS IN TANZANIA

This book examines the survival analysis of credit
supported women businesses in Tanzania using various
survival models. The data set of women businesses in
Kagera region-Tanzania was analyzed by employing
survival models. The intention was to evaluate women
business risks that are typically culturally
oriented. The baseline hazard ratio was estimated.
It was found out that after receiving credits so as
to start businesses; women businesses in Kagera
region-Tanzania survive for 4.55 years on average.
The median of all businesses is exact 3.06 years. Cox
Models indicates that the chances of women businesses
survival increase if husbands and children are
supportive. However, children supported businesses
have children education trade off in the long run.
Also level of training and level of education before
credit provision has a positive impact on business
survival rate. Unfortunately working with children
had no statistically significant. The methods used
in estimating survival function are non-parametric
Univariant model of Kaplan Meyer (KM), parametric
(Weibull distribution), and semi parametric
multivariate models

Autorentext

Mrs Aurelia Ngirwa Kamuzora is a Tanzanian. She possesses an MSc. Economics and Management degree of Agder University College. Currently, she is a PhD (Law and Economics) -Research Fellow at Groningen University in The Netherlands. She has published several papers about women entrepreneurs.

Klappentext

This book examines the survival analysis of creditsupported women businesses in Tanzania using varioussurvival models. The data set of women businesses inKagera region-Tanzania was analyzed by employingsurvival models. The intention was to evaluate womenbusiness risks that are typically culturallyoriented. The baseline hazard ratio was estimated.It was found out that after receiving credits so asto start businesses; women businesses in Kageraregion-Tanzania survive for 4.55 years on average.The median of all businesses is exact 3.06 years. CoxModels indicates that the chances of women businessessurvival increase if husbands and children aresupportive. However, children supported businesseshave children education trade off in the long run.Also level of training and level of education beforecredit provision has a positive impact on businesssurvival rate. Unfortunately working with childrenhad no statistically significant. The methods usedin estimating survival function are non-parametricUnivariant model of Kaplan Meyer (KM), parametric (Weibull distribution), and semi parametricmultivariate models