Modelling Socio-Economic and Demographic Determinants of Financial Inclusion Among RuralWomen in Kenya
View/ Open
Date
2019Author
Cheronoh, Beatrice
Type
ThesisLanguage
enMetadata
Show full item recordAbstract
In this study, we consider determinants of nancial inclusion among rural women in Kenya
as a special interest group. More precisely, we model socio-economic determinants of
nancial inclusion among these rural women. In particular, we employ a multiple logistic
regression model on the data from Financial Inclusion Insights (FII) 2017 survey. It is found
that mobile phone ownership, identi cation documents, age, economic status, education,
informal society membership and employment status are some of the social elements that
explain nancial inclusion. Ownership of a mobile for instance tremendously increases
the chances of a rural woman being nancially included. Those who owned a phone were
14 times more likely to be nancially included (p-value= <2e-16). The rural women in
possession of identi cation documents were 5 times more likely to be nancially included
(p-value= 8.41e-11) while age showed a positive relationship with the outcome variable to
the extent that nancial inclusion increases with an additional unit of age (p value= 1.84
e-5) until it reaches an optimal age beyond which it begins to decrease (as substantiated by
a negative coe cient of the age squared variable. Regarding economic status, those from
households below poverty levels were found to be less likely to be included compared to
those above poverty level. On education, a rural female with higher education’s probability
of being nancially included increases by 151 percent compared to those with no formal
education. On the other hand, those with secondary education were twice more likely to be
nancially included than the reference group. Interestingly, those with primary education
were less likely to be nancially included compared to the ‘no formal education’ category.
Being a member of an informal group like a chama, merry-go-round and VSLA increases
the likelihood of a rural woman being nancially included. For instance, rural women
members of the informal societies were twice likely to be nancially included. Finally,
unemployed rural women, those seeking jobs, housewives, student, retired or the disabled
were all less likely to be nancially included comparatively. Speci cally, housewives or
students showed signi cant results for nancial exclusion.
Publisher
University of Nairobi
Rights
Attribution-NonCommercial-NoDerivs 3.0 United StatesUsage Rights
http://creativecommons.org/licenses/by-nc-nd/3.0/us/Collections
The following license files are associated with this item: