Abstract:
The population in North Sumatra Province consists of 14.8 million people with a sex ratio
of 95.60%. The disparity between women and men in North Sumatra Province is still
quite high in the health, education and employment sectors. This study aims to determine
the Seemingly Unrelated Regression model on the gender development index in North
Sumatra Province and determine the factors that influence it. The Seemingly Unrelated
Regression model is a system of equations consisting of several equations that are
interconnected with each other because the errors between the different equations are
correlated. Ordinary Least Square estimation can be used to estimate the parameters of
each equation but the weakness of Ordinary Least Square can eliminate information about
the possibility of a relationship between equations. Seemingly Unrelated Regression
modeling is carried out using robust S estimation because the data used contains outliers.
Based on the results of the analysis that have a significant effect on the gender
development index in the male population are the sex ratio, life expectancy, and the type
of education completed at the high school level, while for the female population it is the
type of education completed by the senior high school level.
