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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
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