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Table 7 OLS regression results of the gender gap in the health and educational outcomes

From: The gender gap among school children in poor rural areas of western China: evidence from a multi-province dataset

 

Anemia

Standardized math test

Standardized Chinese test

(1)

(2)

(3)

Gender (1 = male;0 = female)

-0.02*** (0.00)

0.21*** (0.01)

-0.09*** (0.02)

Age (years)

0.01*** (0.00)

-0.06*** (0.01)

-0.07*** (0.01)

Ethnicity (1 = ethnic minority; 0 = otherwise)

-0.00 (0.01)

-0.19*** (0.03)

-0.31*** (0.04)

Household size

0.00** (0.00)

-0.02*** (0.00)

-0.03*** (0.01)

Mother’s education (1 = at least primary education; 0 = otherwise)

-0.01** (0.00)

0.03*** (0.01)

0.02* (0.01)

Father’s education (1 = at least primary education; 0 = otherwise)

-0.00 (0.00)

0.16*** (0.01)

0.14*** (0.01)

At least one parent takes migrant job (1 = yes; 0 = otherwise)

0.01** (0.00)

-0.05*** (0.01)

0.00 (0.02)

Household asset (1 = higher than median; 0 = otherwise)

-0.02*** (0.00)

0.05*** (0.02)

0.01 (0.02)

Province dummies

Yes

Yes

Yes

Constant

-0.01 (0.02)

0.40*** (0.08)

0.79*** (0.10)

Observations

26,919

19,101

13,645

R-squared

0.007

0.061

0.060

  1. Each column presents the OLS regression results from regressing the outcome variables (i.e. anemia, standardized math test scores and standardized Chinese test scores) on the gender variable while controlling for the individual variables and family variables. Provincial dummies are included in all regressions. Robust standard errors in parentheses; *** p < 0.01, ** p < 0.05