Table 8.

Heterogeneous impacts on the Bayley-III factor by child and household characteristics at baseline.

Group (⁠|${{\mathit N}}$|⁠)Impacts (RW-p-value)Estimated difference (RW-p-value)
Maternal education |$\ge$| complete high school (N = 660)0.176|$^{*}$|0.034
(0.072)
Maternal education |$<$| complete high school (N = 632)0.142(0.757)
(0.234)
Male (N = 673)0.198|$^{*}$|0.074
(0.077)
Female (N = 619)0.125(0.717)
(0.231)
Wealth index above the median (N = 657)0.042−0.243*
(0.592)
Wealth index below the median (N = 635)0.285|$^{***}$|(0.060)
(0.008)
Group (⁠|${{\mathit N}}$|⁠)Impacts (RW-p-value)Estimated difference (RW-p-value)
Maternal education |$\ge$| complete high school (N = 660)0.176|$^{*}$|0.034
(0.072)
Maternal education |$<$| complete high school (N = 632)0.142(0.757)
(0.234)
Male (N = 673)0.198|$^{*}$|0.074
(0.077)
Female (N = 619)0.125(0.717)
(0.231)
Wealth index above the median (N = 657)0.042−0.243*
(0.592)
Wealth index below the median (N = 635)0.285|$^{***}$|(0.060)
(0.008)

Notes. Heterogeneous effects estimated by subsamples: Difference is a cross-model test for ITT associated parameter. Covariates: child’s gender, an indicator of high household wealth index, maternal PPVT score, teenage mother, an indicator of high municipality population, previous attendance to a childcare center, department and interviewer fixed effects, and baseline weight-for-age and height-for-age Z-scores. Romano–Wolf stepdown p-values for the six multiple hypotheses for the impact and three hypotheses for the differences in the last column.

|$^{*}$|p|$<$| 0.10, |$^{***}$|p|$<$| 0.01 based on Romano–Wolf adjusted p-values (RW, Romano and Wolf 2005, 2016).

Table 8.

Heterogeneous impacts on the Bayley-III factor by child and household characteristics at baseline.

Group (⁠|${{\mathit N}}$|⁠)Impacts (RW-p-value)Estimated difference (RW-p-value)
Maternal education |$\ge$| complete high school (N = 660)0.176|$^{*}$|0.034
(0.072)
Maternal education |$<$| complete high school (N = 632)0.142(0.757)
(0.234)
Male (N = 673)0.198|$^{*}$|0.074
(0.077)
Female (N = 619)0.125(0.717)
(0.231)
Wealth index above the median (N = 657)0.042−0.243*
(0.592)
Wealth index below the median (N = 635)0.285|$^{***}$|(0.060)
(0.008)
Group (⁠|${{\mathit N}}$|⁠)Impacts (RW-p-value)Estimated difference (RW-p-value)
Maternal education |$\ge$| complete high school (N = 660)0.176|$^{*}$|0.034
(0.072)
Maternal education |$<$| complete high school (N = 632)0.142(0.757)
(0.234)
Male (N = 673)0.198|$^{*}$|0.074
(0.077)
Female (N = 619)0.125(0.717)
(0.231)
Wealth index above the median (N = 657)0.042−0.243*
(0.592)
Wealth index below the median (N = 635)0.285|$^{***}$|(0.060)
(0.008)

Notes. Heterogeneous effects estimated by subsamples: Difference is a cross-model test for ITT associated parameter. Covariates: child’s gender, an indicator of high household wealth index, maternal PPVT score, teenage mother, an indicator of high municipality population, previous attendance to a childcare center, department and interviewer fixed effects, and baseline weight-for-age and height-for-age Z-scores. Romano–Wolf stepdown p-values for the six multiple hypotheses for the impact and three hypotheses for the differences in the last column.

|$^{*}$|p|$<$| 0.10, |$^{***}$|p|$<$| 0.01 based on Romano–Wolf adjusted p-values (RW, Romano and Wolf 2005, 2016).

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