WOMEN EMPOWERMENT AND ECONOMIC CONTRIBUTION: STATISTICAL ANALYSIS WITH THE CHI-SQUARE TEST

Authors

  • Dr. Navneet Kaur Professor, SGTBIMIT

DOI:

https://doi.org/10.29121/shodhkosh.v3.i1.2022.5772

Keywords:

Women Empowerment, Female Labor Force Participation, Chi-Square Test, Gender Gap, Economic Contribution, Income Groups, Hdi Rank, Statistical Analysis, Gender Inequality, Workforce Inclusion

Abstract [English]

This study investigates the relationship between women's labor force participation and a country's economic classification using statistical analysis. By employing a Chi-Square Test of Independence on a publicly available dataset of global labor force participation rates, this research evaluates whether income level categories (Low, Lower-Middle, Upper-Middle, High) significantly affect women's engagement in the labor force. The findings suggest a strong association between income group and participation rate category, underscoring the need for policy interventions tailored to economic contexts.

References

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United Nations Development Programme (2020). Gender Equality and Women's Empowerment.

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Klasen, S., & Lamanna, F. (2009). The Impact of Gender Inequality in Education and Employment on Economic Growth: New Evidence for a Panel of Countries. Feminist Economics, 15(3), 91–132. DOI: https://doi.org/10.1080/13545700902893106

McKinsey Global Institute. (2015). The Power of Parity: How Advancing Women’s Equality Can Add $12 Trillion to Global Growth.

Seguino, S. (2000). Gender Inequality and Economic Growth: A Cross-Country Analysis. World Development, 28(7), 1211–1230. DOI: https://doi.org/10.1016/S0305-750X(00)00018-8

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Published

2022-06-30

How to Cite

Kaur, N. (2022). WOMEN EMPOWERMENT AND ECONOMIC CONTRIBUTION: STATISTICAL ANALYSIS WITH THE CHI-SQUARE TEST. ShodhKosh: Journal of Visual and Performing Arts, 3(1), 1083–1089. https://doi.org/10.29121/shodhkosh.v3.i1.2022.5772