2022
DOI: 10.1353/jda.2022.0010
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Factors Affecting Female Labor Force Participation in the Middle East: An Empirical Evidence from Panel Data Approach

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Cited by 3 publications
(4 citation statements)
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“…On the other hand, average years of education hurt women's employment. This finding seems to align with a study by Bawazir et al (2022), which uses annual panel data for ten Middle Eastern nations from 1996 to 2018 to measure determinants affecting female labor force participation. It could be due to at least two factors.…”
Section: Main Results and Robustness Checksupporting
confidence: 85%
“…On the other hand, average years of education hurt women's employment. This finding seems to align with a study by Bawazir et al (2022), which uses annual panel data for ten Middle Eastern nations from 1996 to 2018 to measure determinants affecting female labor force participation. It could be due to at least two factors.…”
Section: Main Results and Robustness Checksupporting
confidence: 85%
“…Due to its close relationship with female labour force participation, Nazah et al (2021) deduce that in 39 Asian nations, fertility had a detrimental effect on female labour force participation in the short term but not in the long term. Bawazir et al (2022) exemplify that fertility hinders female labour force participation in Middle Eastern nations.…”
Section: Methodsmentioning
confidence: 99%
“…Nazah et al (2021) consider that in the case of 39 Asian countries, fertility was negatively significant on female labour participation in the short run but not in the long run due to its close relationship with female labour force participation. Bawazir et al (2022) enlighten that fertility obstructs the females' labour force participation rate in the case of Middle East countries. Bloom et al (2009) discovered a significant negative effect of fertility on female labour force participation in 97 countries between 1960 and 2000, using abortion as an instrument and simulation variable.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Previous studies have used this methodology for the analysis of different labour market issues in the countries of the Middle East (Hamia & A, 2016;Awan et al, 2020;Bawazir et al, 2022).First, an analysis of Pearson's bilateral correlation coefficients was carried out to determine the possible interdependencies between the study variables (Elhorst, 2014). -Labour variables are expressed as percentages and ratios concerning the total population (except the unemployment rate).…”
Section: Methodsmentioning
confidence: 99%