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Table 8 The effect of years of schooling on teenage fertility rates (human capital effect). 2SLS estimates—second stage (Eq. 1)

From: The effect of education on teenage fertility: causal evidence for Argentina

 

(1)

(2)

(3)

(4)

PANEL A—IV (identified)

 Schooling (years)

−27.72 *** (8.804)

−30.76 *** (11.397)

−26.89 *** (8.557)

−29.56 *** (10.98)

PANEL B—IV (over-identified)

 Schooling (years)

−31.97 *** (9.083)

−35.53 *** (12.196)

−30.82 *** (8.684)

−33.63 *** (11.421)

 Sargan-Hansen (p value)

0.252

0.447

0.356

0.511

 Covariatesa

No

No

Yes

Yes

 Obs

1718

1718

1718

1718

  1. Robust standard errors clustered at the birth-cohort/province level in parentheses. All regressions include year and birth-cohort/province fixed effects. In columns (1) and (3) the instrumented explanatory variable is average years of schooling; in columns (2) and (4) the instrumented explanatory variable is average years of schooling of females. Source: own calculations
  2. ***p < 0.01, **p < 0.05, *p < 0.1
  3. aOther covariates included are: economic activity, unemployment, public expenditure on education and health, and Plan Nacer beneficiaries
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