Table 2 Multinomial logistic regression model of enrollment at different education stages (only independent variable)

Enrollment year^a

0.584*

0.377

0.481*

−0.093

0.713**

0.986**

0.947**

0.702

(0.227)

(0.314)

(0.217)

(0.166)

(0.243)

(0.307)

(0.344)

(0.412)

[1.793]

[1.458]

[1.617]

[0.912]

[2.039]

[2.680]

[2.579]

[2.018]

Father’s IESI when respondent was 14 years old (divided by 10)

0.271***

0.307***

0.110*

0.085*

0.178**

−0.011

0.062

0.056

(0.064)

(0.079)

(0.045)

(0.041)

(0.055)

(0.052)

(0.074)

(0.092)

[1.311]

[1.360]

[1.117]

[1.089]

[1.195]

[0.989]

[1.064]

[1.057]

Years of parent’s education

0.117***

0.214***

0.069**

0.085***

0.085**

0.060

0.066

0.122*

(0.022)

(0.036)

(0.025)

(0.020)

(0.031)

(0.032)

(0.042)

(0.050)

[1.124]

[1.239]

[1.071]

[1.088]

[1.088]

[1.062]

[1.068]

[1.130]

Grade of school^b

Key school

–

–

0.872*

−1.231***

2.418***

1.207***

1.902***

2.200***

(0.356)

(0.350)

(0.267)

(0.236)

(0.275)

(0.355)

[2.393]

[0.292]

[11.229]

[3.343]

[6.700]

[9.028]

Vocational senior high school

–

–

–

–

–

−2.032***

−4.287***

−3.854***

(0.354)

(1.021)

(1.035)

[0.131]

[0.014]

[0.021]

Constant

0.278

−3.288***

−2.494***

−1.660***

−3.850***

−2.531***

−3.304***

−4.751***

(0.255)

(0.519)

(0.352)

(0.257)

(0.357)

(0.546)

(0.583)

(0.805)

N

Pseudo R ²

Log likelihood