Abstract
Despite the ordinal nature of the phenomenon of women’s
empowerment, researchers usually prefer to use Ordinary Least
Squares (OLS) technique for measuring its determinants
without sufficient reasoning. This study was planned to apply
OLS at first and then use Ordered Logit Model-OLM on the
same data so that it could be established which technique was
better suitable for ordered data on women’s empowerment as a
dependent variable. A sample of 1000 women of age between
21 to 49 years was attained. The Composite Women’s
Empowerment Index (Batool, 2017) was used to measure
women’s empowerment. The analyses showed that the results
attained via OLM validated the results of OLS and reinforced
the notion that OLM was a suitable technique to be applied on
ordered data as supported by Menard (2002). The study
recommendsthat in future studies, despite using OLS, the OLM
should be used in the prediction of any phenomenon that is
ordered in nature.
Syeda Azra Batool, Syeda Shahida Batool. (2018) Ordered Logit Regression Models of Women's Empowerment with Comparison to Ordinary Least Square Models, Paradigms , Vol 12, Issue 2 .
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