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Table 5 Marginal effects by gender of enrollment in different higher education pathways

From: Gender gap in STEM pathways: the role of secondary curricula in a highly differentiated school system—the case of Chile

  

Not-enrolled HE

Vocational postsecondary institutions

University

STEM

Non-STEM

STEM

Non-STEM

Men

AE-STEM

− 0.031

**

0.040

**

− 0.028

**

0111

**

− 0.091

**

(0.004)

 

(0.005)

 

(0.004)

 

(0.005)

 

(0.005)

 

VE-STEM

0.048

**

0,260

**

− 0.090

**

0.021

**

− 0.239

**

(0.004)

 

(0.005)

 

(0.003)

 

(0.004)

 

(0.004)

 

VE-non-STEM

0.057

**

− 0.055

**

0.128

**

− 0.030

**

− 0.100

**

(0.004)

 

(0.004)

 

(0.005)

 

(0.004)

 

(0.005)

 

Women

AE-STEM

− 0.004

 

0.010

**

− 0.024

**

0.061

**

− 0.043

**

(0.004)

 

(0.002)

 

(0.005)

 

(0.003)

 

(0.005)

 

VE-STEM

0.066

**

0.120

**

-0.016

**

0.082

**

− 0.251

**

(0.007)

 

(0.006)

 

(0.008)

 

(0.006)

 

(0.008)

 

VE-non-STEM

0.098

**

0.002

*

0.049

**

0.009

**

− 0.158

**

(0.003)

 

(0.002)

 

(0.004)

 

(0.002)

 

(0.004)

 

Men vs. women

AE-STEM

− 0.028

**

0.031

**

-0.005

 

0.050

**

− 0.048

**

(0.006)

 

(0.005)

 

(0.006)

 

(0.006)

 

(0.007)

 

VE-STEM

− 0.018

*

0.140

**

− 0.073

**

− 0.062

**

0.013

 

(0.008)

 

(0.008)

 

(0.009)

 

(0.008)

 

(0.009)

 

VE-non-STEM

− 0.042

**

− 0.057

**

0.080

**

− 0.038

**

0.057

**

(0.005)

 

(0.004)

 

(0.006)

 

(0.005)

 

(0.006)

 

Number of observations

        

125,628

 
  1. Effects of upper-secondary tracks split by STEM and non-STEM
  2. Marginal effects are evaluated at the means; HE = higher education; AE = academic education; VE = vocational education; AE-non-STEM as based
  3. Significant differences between groups: + p < 0.05 *p < 0.01 **p < 0.001; standard error in parenthesis