Global Journal of Economics and Business

Volume 14 - Issue 4 (4) | PP: 351 - 379 Language : English
DOI : https://doi.org/10.31559/GJEB2024.14.4.4
352
91

An Econometric Study Using Panel Data Model of Factors Affecting Women's Economic Empowerment for Some Countries During the Period (2000-2023)

Ola Abdulrahman Ajaj ,
Vivian Nasrulddin
Received Date Revised Date Accepted Date Publication Date
4/12/2023 17/12/2023 13/5/2024 14/8/2024
Abstract
Objectives: The study aimed to use the analytical and standard method in analyzing the results of the study based on the analysis of factors affecting the economic empowerment of women in some countries during the period (2000-2023). Methods: To investigate the relationships between variables, the Panel Data model has Been Described to express the relationship between the female employment rate as a Dependent variable and women's empowerment indicators as independent variables. The study sample consisted of five countries, including Saudi Arabia, Sudan, Egypt, India and South Africa. The data were estimated using three models: the aggregate regression model, the static effects, and the random effects model. Results: The results showed that the fixed effects model is the most appropriate model for this study. Using the statistical program E-views12. Conclusion: The study found the following: It is expected to have an inverse relationship between the female unemployment rate and the female employment rate (FE) - as a dependent variable - and a positive relationship between the female labor force rate and FE. Contrary to expectations, it was found that there is a positive relationship between the female mortality rate and the dependent variable, in addition to the dependent variable not affected by the age dependency ratio of males.


How To Cite This Article
Ajaj , O. A. & Nasrulddin , V. (2024). An Econometric Study Using Panel Data Model of Factors Affecting Women's Economic Empowerment for Some Countries During the Period (2000-2023) . Global Journal of Economics and Business, 14 (4), 351-379, 10.31559/GJEB2024.14.4.4

Copyright © 2024, This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.