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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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