Explanatory 1 Model 1 Model 2 Model 2 3 3 Variables (IV) (a) (b) (a) (b) (a) (b) Enrollment in .120 .133 primary (.052)** (.028)** Enrollment in .224 .242 secondary (.000)*** (.000)*** Enrollment in .223 .215 tertiary (.000)*** (.000)*** Industrialization -.023 -.220 .-265 variable (.657) (.000)*** (.000)*** Services -.132 -.386 -.335 (.016) (.000) (.000) Manufacturing .236 .058 -.120 (.001)*** (.432) (.174) GDP per capita .000 .000 .000 .000 .000 .000 (.000)*** (.000)*** (.000)*** (.000)*** (.000)*** (.000)*** GDP growth .069 -.045 .104 -.041 -.022 -.100 (.611) (.734) (.422) (.743) (.881) (.494) Observations (N) 483 483 460 460 359 359 R-squared .286 .320 397 .445 .495 .502 Table 6. Effects of equal access to education on gender political equality Notes: Dependent variable is the percentage of in government occupied by women Models (a) illustrate the industrialization variable (combining the variables manufacturing and services); Models (b) illustrate the values when the two variables were separated.
Table 6. Effects of equal access to education on gender political equality Explanatory Variables (IV) 1 (a) Model 1 (b) Model 2 (a) Model 2 (b) 3 (a) 3 (b) Enrollment in primary .120 .133 (.052)** (.028)** Enrollment in secondary .224 .242 (.000)*** (.000)*** Enrollment in tertiary .223 .215 (.000)*** (.000)*** Industrialization variable -.023 -.220 .-265 (.657) (.000)*** (.000)*** Services -.132 -.386 -.335 (.016) (.000) (.000) Manufacturing .236 .058 -.120 (.001)*** (.432) (.174) GDP per capita .000 .000 .000 .000 .000 .000 (.000)*** (.000)*** (.000)*** (.000)*** (.000)*** (.000)*** GDP growth .069 -.045 .104 -.041 -.022 -.100 (.611) (.734) (.422) (.743) (.881) (.494) Observations (N) 483 483 460 460 359 359 R-squared .286 .320 397 .445 .495 .502 Notes: Dependent variable is the percentage of in government occupied by women Models (a) illustrate the industrialization variable (combining the variables manufacturing and services); Models (b) illustrate the values when the two variables were separated.
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