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. Author manuscript; available in PMC: 2019 Jul 29.
Published in final edited form as: Stud Fam Plann. 2018 Nov 20;49(4):295–317. doi: 10.1111/sifp.12073

Table B6.

Potential mechanisms: Impacts on consumption per capita (logged), youth 14–21 at baseline by sex and country

Male Female

Panel A: Malawi [Social Cash Transfer
Program]
Consumption pc
(logged)
(1)
Unadjusted
Consumption pc
(logged)
(2)
Adjusted
Consumption pc
(logged)
(3)
Unadjusted
Consumption pc
(logged)
(4)
Adjusted

Treatment status 0.305*** 0.305*** 0.311*** 0.307***
(0.0431) (0.0375) (0.0433) (0.0439)

Observations 1,023 1,023 869 869
R-squared 0.219 0.271 0.186 0.228
Endline control mean 10.317 10.339

Male Female

Panel B: Zambia [Multiple Category
Targeted Grant]
Consumption pc
(logged)
(1)
Unadjusted
Consumption pc
(logged)
(2)
Adjusted
Consumption pc
(logged)
(3)
Unadjusted
Consumption pc
(logged)
(4)
Adjusted

Treatment status 0.259*** 0.250*** 0.189*** 0.219***
(0.0304) (0.0298) (0.0326) (0.0332)

Observations 1,296 1,296 1,070 1,070
R-squared 0.080 0.161 0.051 0.120
Endline control mean  3.850  3.859

NOTES: Estimations use ANCOVA modeling among panel individuals (follow-up after 30 months in Malawi and after 36 month in Zambia). Robust standard errors in parentheses corrected for clustering.

***

p<0.01,

**

p<0.05,

*

p<0.1.

All controls are measured at baseline and include stratifying indicators used for the randomization (traditional authorities dummies in Malawi and district dummies in Zambia). Inconsistent observations, namely those individuals reporting ever being married/pregnant at baseline but never being married/pregnant at endline were excluded from the analysis. Sampling weights have been applied in Malawi.

Results for female youth are based on the ‘ever married’ panel; results based on the “ever pregnant” panel are fully consistent.