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This research has been integrated to check the affiliation between gender equality, employment trends, and sustainable economic growth of low income countries. Furthermore, this research validates a classical theory that argued that factoring or adding more variables in a gender specified model will reduce the only portion of residuals but does not rule out the gap. It also considers the impact of gender inequality and employment trends on sustainable economic growth separately and combines. Panel data estimation by using secondary data sources from recognized international organizations such as the United Nations Development Program, World Economic Outlook, and World Economic Situation Perspectives over time. Gender inequality, unemployment, and some other macro-economic, social, demographic, and financial factors are incorporated over 2011 to 2020. This research considers three different statistical models. For statistical estimation of long run affiliation granger causality and Generalized Method of Moment (GMM) is utilized by the researcher. Gender inequality negatively influences sustainable economic growth. Employment trends also contribute to influencing economic growth. Moreover, there is a statistically significant association amid gender inequality, employment trends, and sustainable economic growth. Furthermore, factoring more variables in gender specified models does not rule out gender inequality. There is long term association between gender equality, employment trends, and sustainable economic growth of low income countries. Therefore, when governments or policymakers construct policies about reducing or eliminating gender inequality, they must consider employment trends prevailing in that economy.
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