Table 7.

Impacts on height-for-age by ranges of the distribution.

Impacts (95% CI)p-valueRW p-value
Pr(Height-for-age between –5 SD and –1 SD)|$-0.068^{**}$|0.0240.044
(⁠|$-0.126,-$|0.010)
Pr(Height-for-age between –1 SD and 1 SD)0.076|$^{**}$|0.0130.033
(0.017, 0.134)
Pr(Height-for-age between 1 SD and 5 SD)-0.0010.9500.955
(-0.025, 0.023)
ObservationsTreatment 559Control 632
559632
Impacts (95% CI)p-valueRW p-value
Pr(Height-for-age between –5 SD and –1 SD)|$-0.068^{**}$|0.0240.044
(⁠|$-0.126,-$|0.010)
Pr(Height-for-age between –1 SD and 1 SD)0.076|$^{**}$|0.0130.033
(0.017, 0.134)
Pr(Height-for-age between 1 SD and 5 SD)-0.0010.9500.955
(-0.025, 0.023)
ObservationsTreatment 559Control 632
559632

Notes. Impacts measure the change in the probabilities considered in each row in a linear probability model. Standard errors clustered by town. Covariates: child’s gender, an indicator of high household wealth index, maternal PPVT score, teenage mother, an indicator of high municipality population, previous attendance at a childcare center, department and interviewer fixed effects, and baseline weight-for-age and height-for-age Z-scores.

|$^{**} {p} < 0.05$| based on Romano–Wolf adjusted p-values (RW, Romano and Wolf 2005, 2016), considering all three hypotheses jointly.

Table 7.

Impacts on height-for-age by ranges of the distribution.

Impacts (95% CI)p-valueRW p-value
Pr(Height-for-age between –5 SD and –1 SD)|$-0.068^{**}$|0.0240.044
(⁠|$-0.126,-$|0.010)
Pr(Height-for-age between –1 SD and 1 SD)0.076|$^{**}$|0.0130.033
(0.017, 0.134)
Pr(Height-for-age between 1 SD and 5 SD)-0.0010.9500.955
(-0.025, 0.023)
ObservationsTreatment 559Control 632
559632
Impacts (95% CI)p-valueRW p-value
Pr(Height-for-age between –5 SD and –1 SD)|$-0.068^{**}$|0.0240.044
(⁠|$-0.126,-$|0.010)
Pr(Height-for-age between –1 SD and 1 SD)0.076|$^{**}$|0.0130.033
(0.017, 0.134)
Pr(Height-for-age between 1 SD and 5 SD)-0.0010.9500.955
(-0.025, 0.023)
ObservationsTreatment 559Control 632
559632

Notes. Impacts measure the change in the probabilities considered in each row in a linear probability model. Standard errors clustered by town. Covariates: child’s gender, an indicator of high household wealth index, maternal PPVT score, teenage mother, an indicator of high municipality population, previous attendance at a childcare center, department and interviewer fixed effects, and baseline weight-for-age and height-for-age Z-scores.

|$^{**} {p} < 0.05$| based on Romano–Wolf adjusted p-values (RW, Romano and Wolf 2005, 2016), considering all three hypotheses jointly.

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