This paper assesses the determinants of school enrolment in Ghana during the period
from1970-2012 using data from World Bank Development Indicators.The study employed the
Bayesian Moving Average model (BMA) in order to address the issue of model uncertainty. By
making use of 28 regressors as possible determinants of school enrolment, the results of the
empirical analysis show that percentage of female teachers in the community, number of
schools in the community, household expenditure, labour force with primary education,
progression rate to secondary level. Among others are the factors that influence enrolment
level. The results are robust with the change of coefficient priors in the estimated model.
Government should introduce the quota system where more females will be trained as teachers
and also introduce more programmes to reduce fertility rate.