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Improving Mental Health of Adolescent Girls in Low- and Middle-Income Countries

Causal Evidence from Life Skills Programming

View ORCID ProfileManisha Shah, View ORCID ProfileSarah Baird, View ORCID ProfileJennifer Seager, Benjamin Avuwadah, View ORCID ProfileJoan Hamory, Shwetlena Sabarwal and Amita Vyas
Journal of Human Resources, April 2024, 59 (S) S317-S364; DOI: https://doi.org/10.3368/jhr.1222-12707R2
Manisha Shah
Manisha Shah is Chancellor’s Professor of Public Policy at the University of California, Berkeley and a Research Associate with the National Bureau of Economic Research .
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  • For correspondence: [email protected]
Sarah Baird
Sarah Baird is Professor of Global Health and Economics in the Department of Global Health at George Washington University.
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Jennifer Seager
Jennifer Seager is an Associate Professor of Global Health and Economics in the Department of Global Health at George Washington University.
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Benjamin Avuwadah
Benjamin Avuwadah is a Post-Doctoral Scientist in the Department of Global Health at George Washington University.
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Joan Hamory
Joan Hamory is an Associate Professor of Economics at the University of Oklahoma.
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Shwetlena Sabarwal
Shwetlena Sabarwal is a Senior Economist at the Education Global Practice of The World Bank.
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Amita Vyas
Amita Vyas is an Associate Professor at George Washington University.
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    Figure 1

    Conceptual Framework

    Notes: This diagram summarizes the conceptual framework for our analysis. See the text for more details on this framework.

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    Figure 2

    Main Regression Results

    Notes: Each subpanel of the figure displays the point estimates (dots) and 95 percent confidence intervals (lines) on the treatment group terms from the regressions presented in Table 4 for the respective country (panel title) and outcome (subpanel title). Outcome measures for each country are constructed and standardized as described in Online Appendix Table 3. Regressions are performed as described in the notes to Table 4. The p-values listed next to each treatment group test the null hypothesis of no program impact (versus control) for that intervention and outcome and are drawn from the regressions presented in Table 4.

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    Figure 3

    K-Densities for Mental Health Index by Country

    Notes: Each subpanel of this figure displays, separately by country, the kernel densities for the mental health index by treatment group. The kernel densities are weighted appropriately according to each country’s study design. The mental health measure is constructed and standardized as described in the text. In Panel B for Bangladesh, the data was trimmed below −4 (n = 3). GM and GR are abbreviations for Growth Mindset and Girl Rising, respectively. In Panel C for Ethiopia, the control group data was trimmed below −5 (n = 3). AWH is an abbreviation for Act With Her.

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    Table 1

    Summary of Interventions, Sample, and Study Design

    TanzaniaBangladeshEthiopia
    Panel A: Interventions
    Goal Setting, implemented in 2017, encourages girls to set a goal to remain healthy and stay STI/HIV free; Empowerment and Livelihood for Adolescents (ELA), an ongoing intervention, provides a safe social space, life-skills training and community support for girls.Growth Mindset is an intervention aimed at developing “growth mindset,” the belief that ability depends on effort and is not constrained by fixed intelligence; Girl Rising uses the power of storytelling to change the way the world values girls and their education. Interventions were implemented in 2021.Act With Her is a multilevel intervention that includes a safe social space, life skills training for girls and boys (separately), awareness raising for their caregivers, and (in a random half of communities) community-level work aimed at improved adolescent-focused services; discussion of gender norms and attitudes is interwoven at each level, and goal setting for girls is a focus. Act With Her + Transfers additionally includes in-kind school supply and sexual and reproductive health–related Transfers for girls. Interventions were implemented during 2019–2020.
    Panel B: Sample
    LocationDodoma and Iringa RegionsChittagong & Sylhet DivisionsSouth Gonder Zone (Amhara), East Hararghe Zone (Oromia)
    Sublocation/cluster79 communities100 schools126 communities
    Urban/ruralRural/Peri-urbanUrban/RuralRural
    Baseline age range10–19-year-olds10–18-year-oldsa10–12-year-olds
    Baseline sample size1,4491,2001,863
    Baseline survey year(s)201620202017/18
    Follow-up survey year(s)201820212019/20
    Panel C: Study Design
    Cross-cutting designMulti-arm cluster RCTMulti-arm cluster RCT
    Goal setting: Individually randomized (369 treated, 1,080 control)
    ELA: Cluster randomized (32 treatment communities, 47 control)
    (36 control schools, 36 Growth Mindset, 37 Growth Mindset + Girl Rising)(39 control communities, 58 Act With Her, 29 Act With Her + Transfers)
    • ↵a 93 percent of adolescents are aged 10–14; 61 adolescents are 15 years old, 16 are 16 years old, three are 17 years old, and one is 18 years old.

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    Table 2

    Sample Summary Statistics

    TanzaniaBangladeshEthiopia
    Panel A: Adolescent Characteristics
    Age at baseline14.712.710.9
    (2.5)(1.1)(0.8)
    Age at follow-up16.114.813.2
    (3.0)(1.1)(1.1)
     = 1 if adolescent is enrolled in school0.7211.0000.836
     = 1 if adolescent aspires to higher than secondary schooling0.8070.8520.581
    Index of perceptions of gender stereotypical roles (0–2)1.0090.8901.645
    (0.439)(0.824)(0.601)
     = 1 if adolescent has savings0.1380.2170.023
    Panel B: Household Characteristics
    Number of household members3.35.86.4
    (1.3)(2.3)(1.8)
     = 1 for mother living in household0.7640.9470.913
     = 1 for father living in household0.5800.8620.829
    Household head highest grade attained8.77.42.4
    (3.0)(5.3)(3.8)
     = 1 if improved flooring (wood/tiles/ceramic/carpet/cement/bamboo)0.8940.6560.017
     = 1 for primary female caregiver in the household engages in paid work0.5800.1510.089
    Number of observations1,4491,2201,863
    • Notes: This table presents summary statistics for the sample used in each country. All statistics are measured for the entire sample (by country) at baseline, with the exception of “age at follow-up.” Means are presented for all measures, and standard deviations are presented (in parentheses) for continuous measures only.

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    Table 3

    Outcome Descriptions and Summary Statistics

    TanzaniaBangladeshEthiopia
    Construct #1: Depression
    PHQ Depression ScorePatient Health Questionnaire-2 (PHQ- 2) score—a measure of depression, with scores ranging from 0–6. Higher scores indicate higher levels of distress; measure used in regression is standardized within the sample control group.Patient Health Questionnaire-9 (PHQ 9) score—a measure of depression (Kroenke, Spitzer and Williams 2001), with scores ranging from 0–27. Higher scores indicate higher levels of distress; measure used in regression is standardized within the sample control group.Patient Health Questionnaire-9 (PHQ 9) score—a measure of depression (Kroenke, Spitzer and Williams 2001), with scores ranging from 0–27. Higher scores indicate higher levels of distress; measure used in regression is standardized within the sample control group.
    Summary statistics (mean, standard deviation within control group at follow-up)1.01
    (1.26)
    2.43
    (2.50)
    0.59
    (2.09)
    Indicator for moderate/severe depressionIndicator of depression—binary measure taking on a value of 1 if raw PHQ-2 score is ≥3.Indicator of moderate/severe depression—binary measure taking on a value of 1 if raw PHQ-9 score ≥10.Indicator of moderate/severe depression—binary measure taking on a value of 1 if raw PHQ-9 score ≥10.
    Summary statistics (mean, standard deviation within control group at follow-up)0.135
    (0.342)
    0.019
    (0.138)
    0.01
    (0.08)
    Construct #2: Socio-Emotional Development
    Confidence/grit/resilienceConfidence—a measure that takes on a value of 1 if the adolescent agrees she is confident she can complete any task set before her. Measure used in regression is standardized within the sample control group.Grit Scale—a measure of adolescent grit generated from a 7-item scale following Alan, Boneva, and Ertac (2019), with scores ranging from 0 to 4, where higher scores indicate more grit. Measure used in regression is standardized within the sample control group.Child and Youth Resilience Measure- 12 (CYRM-12)—a measure of youth resilience (Liebenberg, Ungar, and LeBlanc 2013), with scores ranging from 12 to 36, where higher scores indicate more resilience. Measure used in regression is standardized within the sample control group.
    Summary statistics (mean, standard deviation within control group at follow-up)0.529
    (0.499)
    2.97
    (0.457)
    31.31
    (4.41)
    Construct #3: Locus of Control
    Locus of controlPearlin Mastery Scale items, which is the extent to which the respondent feels in control of the events that influence her life. The Pearlin Mastery Scale (Pearlin and Schooler 1978) is a 7-item scale of seven statements to which respondents indicate if they strongly disagree, disagree, feel neutral, agree, or strongly agree. The responses to each item are coded so that all responses go in the same direction (toward feelings of more control) and summed to an index that takes on values of 12 to 40. We generate a binary indicator = 1 if the score is >28 (median score at baseline). Measure used in regression standardizes this indicator within the sample control group.Self-reported feeling of control over own life, measured on a scale from 1 to 10, where higher values indicate more control. Adapted from the World Values Survey (Haerpfer et al. 2020). Question asks: “Some people feel that they have a great deal of control over their own lives. Others feel that what they do has very little effect on what happens to them. On a scale from 1 to 10, with 1 being very little and 10 being complete control, how would you classify yourself?” Measure used in regression is standardized within the sample control group.Self-reported feeling of control over own life, measured on a scale from 1 to 10, where higher values indicate more control. Adapted from the World Values Survey (Haerpfer et al. 2020). Question asks: “Some people feel that they have a great deal of control over their own lives. Others feel that what they do has very little effect on what happens to them. On a scale from 1 to 10, with 1 being very little and 10 being complete control, how would you classify yourself?” Measure used in regression is standardized within the sample control group.
    Summary statistics (mean, standard deviation within control group at follow-up)28.7
    (4.66)
    6.789
    (2.32)
    7.05
    (3.01)
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    Table 4

    Regression Results

    PHQ Depression Score (Standardized)Indicator for Moderate/Severe DepressionSocio-Emotional Development (Standardized)Locus of Control (Standardized)Mental Health Index (Standardized)
    (1)(2)(3)(4)(5)
    Panel A: Tanzania
    Goal Setting0.1500.086**−0.057−0.112−0.165
    (0.102)(0.033)(0.111)(0.089)(0.103)
    [0.237][0.355][0.155]
    Goal Setting × ELA−0.208−0.111**0.0580.0960.199
    (0.131)(0.043)(0.137)(0.137)(0.129)
    [0.746][0.345][0.121]
    ELA only0.1360.054−0.135−0.079−0.174
    (0.102)(0.037)(0.105)(0.118)(0.123)
    [0.384][0.310][0.104]
    Number of observations1,1671,1671,1761,1761,167
    p-value on K–S (GS + ELA vs. ELA)[0.736][0.470][0.271]
    Panel B: Bangladesh
    Growth Mindset−0.018−0.0020.317***0.1750.286**
    (0.090)(0.009)(0.111)(0.110)(0.125)
    [0.220][0.128][0.469][0.054]
    Growth Mindset + Girl Rising−0.001−0.0030.1400.0270.090
    (0.107)(0.011)(0.103)(0.101)(0.095)
    [0.276][0.258][0.534][0.275]
    Number of observations1,0961,0961,1001,1041,092
    p-value on (1st row – 2nd row)[0.877][0.960][0.126][0.272][0.137]
    p-value on K–S (GM vs. GM + GR)[0.471][0.579][0.429][0.130]
    Panel C: Ethiopia
    Act With Her−0.113−0.0060.158**0.1040.172**
    (0.071)(0.007)(0.067)(0.072)(0.071)
    [0.767][0.000][0.301][0.007]
    Act With Her + Transfers0.0110.0070.0870.0560.063
    (0.091)(0.010)(0.072)(0.075)(0.076)
    [0.897][0.041][0.483][0.125]
    Number of observations1,5181,5181,4051,6171,288
    p-value on (1st row – 2nd row)[0.091][0.130][0.329][0.490][0.116]
    p-value on K–S (AWH vs. AWH + Transfers)[0.780][0.086][0.412][0.031]
    • Notes: Each column and panel presents results from a separate regression. The column title indicates the outcome measure (construct) of interest. Regression controls include only those necessary to account for the study sampling design by country (basic controls); more specific information on the control sets for each country can be found in Online Appendix Table 3. For regressions with other control specifications, see Online Appendix Tables 10–12. Each regression is properly weighted and clustered according to the country’s sample design. Results presented for each treatment indicator include the coefficient estimates, standard errors in parentheses, and in brackets the p-values from Kolmogorov–Smirnov (K–S) tests of equality of distributions between the treatment group and control group. Significance: *p < 0.1, **p < 0.05, ***p < 0.001. The results presented in brackets in the final two rows of each panel are (i) p-values on the test of equality of the treatment indicator coefficients and (ii) p-values from Kolmogorov–Smirnov (K–S) tests of equality of distributions between the two treatment groups.

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    Table 5

    Heterogeneity Regressions for Mental Health Index by Country

    × Indicator for Assets >Median× Indicator for Enrolled in Schoola× Indicator for Perceptions of Gendered Norms in Community >Median× Indicator for PHQ Score > Medianb× Indicator for Mother Lives in Household
    (1)(2)(3)(4)(5)
    Panel A: Tanzania
    Goal Setting−0.243*−0.209−0.212*−0.157−0.227
    (0.131)(0.161)(0.119)(0.131)(0.193)
    Goal Setting × ELA0.2540.0780.1580.1120.229
    (0.166)(0.269)(0.144)(0.175)(0.287)
    GS × Heterogeneity0.1680.0560.125−0.0240.076
    (0.142)(0.204)(0.227)(0.164)(0.221)
    (GS × ELA) × Heterogeneity−0.1140.1620.0120.157−0.036
    (0.193)(0.345)(0.277)(0.293)(0.335)
    Number of observations1,1671,1671,1671,1391,167
    Panel B: Bangladesh
    Growth Mindset0.0100.0760.388**0.337**0.201
    (0.129)(0.242)(0.155)(0.135)(0.417)
    Growth Mindset + Girl Rising0.1370.2270.0540.0050.042
    (0.116)(0.212)(0.118)(0.127)(0.272)
    GM × Heterogeneity0.456***0.242−0.318−0.1100.089
    (0.167)(0.244)(0.224)(0.216)(0.421)
    (GM + GR) × Heterogeneity−0.104−0.1640.0550.1730.051
    (0.133)(0.233)(0.195)(0.226)(0.275)
    Number of observations1,0921,0921,0921,0921,092
    Panel C: Ethiopia
    Act with her0.0290.402*0.132**0.227**−0.015
    (0.079)(0.224)(0.066)(0.091)(0.126)
    Act with her + Transfers−0.0130.4030.0170.118−0.117
    (0.086)(0.246)(0.076)(0.096)(0.164)
    AWH × Heterogeneity0.342***−0.2610.127−0.1430.209
    (0.115)(0.222)(0.187)(0.132)(0.153)
    (AWH + T) × Heterogeneity0.166−0.3730.147−0.1330.198
    (0.138)(0.252)(0.191)(0.154)(0.194)
    Number of observations1,2881,2881,2881,2701,288
    • Notes: Each column and panel presents results from a separate regression. The column title indicates the heterogeneity metric of interest, and the panel title indicates the country sample. The outcome measure is the mental health index. Regression controls include only those necessary to account for the study sampling design (basic controls); more specific information on the control sets can be found in Online Appendix Table 3. Each regression is properly weighted and clustered according to the country’s sample design. Results presented include the coefficient (standard error) on a treatment indicator or the interaction between the heterogeneity metric and a treatment indicator. Significance: *p < 0.1, **p < 0.05, ***p < 0.001.

    • ↵a For Bangladesh, the educational heterogeneity term is a measure of education aspirations, as school enrollment was a requirement for study eligibility.

    • ↵b For Ethiopia, the depression heterogeneity term is the General Health Questionnaire (GHQ-12) measure, another validated measure of mental health (as the PHQ was not collected at baseline in Ethiopia).

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    Table 6

    Conditional Average Treatment Effect Regressions

    Mental Health IndexPHQ Depression ScoreIndicator for Moderate/Severe DepressionSocio-Emotional DevelopmentLocus of Control
    Above-Median CATEBelow-Median CATEDifferenceAbove-Median CATEaBelow-Median CATEDifferenceAbove-Median CATEaBelow-Median CATEDifferenceAbove-Median CATEBelow-Median CATEDifferenceAbove-Median CATEBelow-Median CATEDifference
    (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)
    Panel A: Tanzania
    Goal Setting−0.037−0.1420.1050.0060.123−0.1170.0220.055−0.0330.006−0.0910.0970.033−0.1150.148
    (0.101)(0.099)[0.458](0.108)(0.107)[0.442](0.035)(0.039)[0.529](0.097)(0.094)[0.472](0.095)(0.094)[0.268]
    Goal Setting × ELA−0.042−0.0590.017−0.0920.097−0.189−0.020.005−0.025−0.004−0.1160.1120.106−0.2610.367**
    (0.135)(0.145)[0.931](0.135)(0.144)[0.338](0.052)(0.046)[0.719](0.134)(0.129)[0.547](0.131)(0.129)[0.046]
    Panel B: Bangladesh
    Growth Mindset0.1060.080.025−0.1660.129−0.295**−0.020.026−0.046**0.1960.0830.1130.1420.0210.121
    (0.106)(0.101)[0.864](0.080)(0.100)[0.021](0.010)(0.018)[0.025](0.097)(0.083)[0.376](0.096)(0.103)[0.390]
    Growth Mindset + Girl Rising0.177−0.0910.268**0.0220.070−0.048−0.0170.016−0.0330.160.1180.0420.105−0.150.255*
    (0.096)(0.093)[0.045](0.111)(0.094)[0.741](0.016)(0.013)[0.109](0.083)(0.089)[0.730](0.097)(0.093)[0.058]
    Panel C: Ethiopia
    Act With Her only0.1590.1460.013−0.088−0.01−0.078−0.0160.003−0.019***0.1670.130.0370.132−0.0080.14
    (0.075)(0.070)[0.899](0.077)(0.056)[0.413](0.007)(0.002)[0.009](0.066)(0.084)[0.729](0.072)(0.068)[0.157]
    Act With Her + Transfers0.074−0.1690.243**0.0230.038−0.0150.0060.015−0.0090.061−0.0920.1530.056−0.0740.13
    (0.082)(0.088)[0.043](0.085)(0.100)[0.909](0.008)(0.011)[0.508](0.083)(0.098)[0.234](0.081)(0.083)[0.262]
    • Notes: This table presents results of average treatment effects (ATEs) for adolescents based on groups defined by adolescents with high and low conditional average treatment effects (CATEs, estimated using grf model in R) for individuals in the three study settings. Above- (below-) median groups represent adolescents whose CATEs are greater than (less than) the median estimated CATEs. Standard errors are in parentheses. Each panel of the table shows the treatment effects for each CATE subgroup derived from country-specific treatment arms and the respective set of outcomes. Significance: *p < 0.1, **p < 0.05, ***p < 0.001.

    • ↵a For PHQ Depression Score and Indicator for Moderate/Severe Depression, the “above-median CATE” indicates a more negative impact on the measure.

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    Table 7

    Average Covariate per CATE Subgroup

    TanzaniaBangladeshBangladeshBangladeshBangladeshEthiopiaEthiopia
    Locus of Control Goal Setting × ELAPHQ Depression Score Growth Mindset = 1 Moderate/Severe Depression Growth MindsetLocus of Control Growth Mindset + Girl RisingMental Health Index Growth Mindset + Girl Rising = 1 Moderate/Severe Depression Act with HerMental Health Index Act With Her + Assets
    Above-Median CATEBelow-Median CATEDifferenceAbove-Median CATEaBelow-Median CATEDifferenceAbove-Median CATEaBelow-Median CATEDifferenceAbove-Median CATEBelow-Median CATEDifferenceAbove-Median CATEBelow-Median CATEDifferenceAbove-Median CATEaBelow-Median CATEDifferenceAbove-Median CATEBelow-Median CATEDifference
    (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)
    Age14.02715.391−1.364***14.84414.853−0.00914.88914.8160.07314.71214.987−0.275*14.9414.7580.182***10.8510.968−0.118***10.87310.8490.024
    (0.092)(0.105)[0.000](0.043)(0.047)[0.888](0.045)(0.045)[0.251](0.042)(0.046)[0.062](0.043)(0.047)[0.004](0.028)(0.029)[0.003](0.032)(0.031)[0.590]
    Indicator for enrolled in school0.8860.5610.325***0.0050.0020.0030.4810.682−0.2010.0020.004−0.0020.5710.4210.150***0.8790.8160.063***0.860.885−0.025
    (0.013)(0.020)[0.000](0.003)(0.001)[0.956](0.149)(0.153)[0.347](0.002)(0.003)[0.579](0.021)(0.021)[0.000](0.012)(0.014)[0.000](0.014)(0.013)[0.191]
    Household size3.4223.0540.368***5.9425.6310.311**5.8195.7540.0655.8955.690.2055.7995.7690.036.6426.1240.518***6.6276.0060.621***
    (0.056)(0.049)[0.000](0.043)(0.094)[0.034](0.106)(0.103)[0.660](0.095)(0.113)[0.165](0.109)(0.100)[0.839](0.060)(0.068)[0.000](0.070)(0.067)[0.000]
    Indicator for mother lives in HH0.7360.782−0.0460.940.944−0.0040.9470.9360.0110.9440.940.0040.9340.95−0.0160.9740.8710.103***0.9350.910.025*
    (0.018)(0.017)[0.632](0.010)(0.010)[0.777](0.010)(0.010)[0.437](0.010)(0.010)[0.777](0.011)(0.009)[0.260](0.006)(0.012)[0.000](0.010)(0.011)[0.093]
    Indicator for father lives in HH0.6120.5240.088***0.8490.862−0.0130.8620.8480.0140.8480.863−0.0150.8490.862−0.0130.9040.7710.133***0.8620.8150.047**
    (0.127)(0.021)[0.002](0.015)(0.015)[0.540](0.015)(0.015)[0.509](0.015)(0.015)[0.800](0.015)(0.015)[0.540](0.011)(0.015)[0.000](0.014)(0.015)[0.022]
    HH head years of education8.5868.836−0.257.5286.481.048***6.0547.934−1.88***9.5714.4255.146***7.3626.6480.714**2.3972.473−0.0762.3152.695−0.38*
    (0.092)(0.125)[0.161](0.223)(0.207)[0.000](0.204)(0.221)[0.000](0.199)(0.172)[0.000](0.228)(0.202)[0.019](0.147)(0.139)[0.707](0.143)(0.169)[0.086]
    Indicator for parent participation in paid work0.5260.658−0.132***0.1620.1180.044**0.1270.153−0.0260.1320.147−0.0150.1380.139−0.0010.0240.157−0.133***0.0950.090.005
    (0.021)(0.020)[0.000](0.016)(0.014)[0.039](0.014)(0.015)[0.205](0.014)(0.015)[0.465](0.015)(0.015)[0.962](0.006)(0.013)[0.000](0.012)(0.011)[0.759]
    Asset count5.5564.5780.978***6.0274.8711.156***4.9125.974−1.062***6.8244.0662.758***5.5055.3780.1275.2415.881−0.64***5.6025.5070.095
    (0.125)(0.110)[0.000](0.137)(0.099)[0.000](0.127)(0.114)[0.000](0.111)(0.103)[0.000](0.128)(0.117)[0.464](0.108)(0.103)[0.000](0.113)(0.119)[0.563]
    Index of perceptions of gender stereotypical roles−0.002−0.010.0080.1060.0380.0680.0940.0510.043−0.0260.172−0.198***0.0090.13−0.121**0.011−0.0190.030.102−0.1250.227***
    (0.044)(0.043)[0.897](0.040)(0.042)[0.241](0.041)(0.042)[0.463](0.043)(0.039)[0.001](0.041)(0.042)[0.039](0.038)(0.036)[0.567](0.037)(0.043)[0.000]
    Indicator for aspires to earn bachelor's degree0.8380.7910.047**0.8370.8070.030.8130.831−0.0180.90.7440.156***0.8360.8090.0270.6960.5230.173***0.4750.731−0.256***
    (0.015)(0.017)[0.038](0.016)(0.017)[0.199](0.017)(0.016)[0.441](0.013)(0.019)[0.000](0.016)(0.017)[0.247](0.017)(0.018)[0.000](0.020)(0.017)[0.000]
    • Notes: This table presents country-level covariate means estimates for conditional average treatment effect (CATE) subgroups (above-median and below-median CATE) for selected outcomes and treatments. In particular, the outcome–treatment combinations shown are those that displayed statistically significant heterogeneous treatment effects across CATE subgroup in Table 6. Significance: *p < 0.1, **p < 0.05, ***p < 0.001.

    • ↵a For PHQ Depression Score and Indicator for Moderate/Severe Depression, the “above-median CATE” indicates a more negative impact on the measure.

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    • 1222-12707R2_supp.pdf
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Journal of Human Resources: 59 (S)
Journal of Human Resources
Vol. 59, Issue S
1 Apr 2024
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Improving Mental Health of Adolescent Girls in Low- and Middle-Income Countries
Manisha Shah, Sarah Baird, Jennifer Seager, Benjamin Avuwadah, Joan Hamory, Shwetlena Sabarwal, Amita Vyas
Journal of Human Resources Apr 2024, 59 (S) S317-S364; DOI: 10.3368/jhr.1222-12707R2

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Improving Mental Health of Adolescent Girls in Low- and Middle-Income Countries
Manisha Shah, Sarah Baird, Jennifer Seager, Benjamin Avuwadah, Joan Hamory, Shwetlena Sabarwal, Amita Vyas
Journal of Human Resources Apr 2024, 59 (S) S317-S364; DOI: 10.3368/jhr.1222-12707R2
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    • I. Introduction
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  • I15
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