Table (E15) Impacts of the Program on Political Attitudes

|**Outcomes**|**Treatment**|**(se)**|**FDR**<br>**q-values**|**Control**<br>**mean**|**(sd)**|**N**|
|---|---|---|---|---|---|---|
|Support for Democracy (Z-Score)|0.15|(0.17)|[0.84]|0.00|(1.00)|837|
|Support for Government (Z-Score)|0.16|(0.20)|[0.84]|-0.00|(1.00)|1,056|
|Justify Human Rights Violations (Z-Score)|0.19|(0.13)|[0.84]|0.00|(1.00)|1,084|
|Interest in Politics (Z-Score)|0.16|(0.18)|[0.84]|-0.00|(1.00)|1,413|
|Followed News Last Week (Days)|0.17|(0.50)|[0.84]|2.26|(2.87)|1,422|
|Missing Support for Democracy (=1)|0.09|(0.06)|[0.84]|0.39|(0.49)|1,422|
|Missing Support for Government (=1)|-0.06|(0.05)|[0.84]|0.26|(0.44)|1,422|
|Missing Justify Human Rights Violations (=1)|-0.08|(0.07)|[0.84]|0.25|(0.44)|1,422|

**_Notes_** :

- The table shows the regression results on pre-specified political attitudes outcomes using the 2021 in-person data. Each row is its own dependent variable.

- The outcomes that require definitions are: Support for Democracy (Z-Score) is defined as a z-score from whether the FR strongly agrees, agrees, disagrees, or strongly disagrees with "Democratic systems may have problems, yet they are better than other systems." Higher values indicate more support for democracy. Support for Government (Z-Score) is defined as a z-score from whether the FR strongly agrees, agrees, disagrees, or strongly disagrees with "Citizens must support the government’s decisions, even if they disagree with them." Higher values indicate more support for the government. Justify Human Rights Violations (Z-Score) is defined as a z-score from whether the FR strongly agrees, agrees, disagrees, or strongly disagrees with "The violation of human rights in Syria is justifiable in the name of promoting security and stability." Higher values indicate more justification for human rights violations. Interest in Politics (Z-Score) is defined as a z-score from the extent to which the FR is interested in politics (very uninterested, uninterested, interested, very interested), with higher values indicating more interest in politics.

- The independent variable of interest is the TOT treatment indicator, which is the predicted value from a first-stage regression of treatment implementation on treatment assignment.

- The regressions also have assessment month-by-year fixed effects, enumerator fixed effects, community-level controls (Irbid/Mafraq governorate and population quartile), and household-level controls (vulnerability-assessment quartile, shelter program, baseline number of children, baseline number of children plus adults, respondent gender, and respondent age). In the parentheses are robust standard errors clustered at the locality level. Regressions are weighted by the number of people interviewed in each household. Statistical significance represented by * (10%), ** (5%), and *** (1%). Q-values are calculated per Anderson (2008) and correspond to Family 10 in the preanalysis plan.

Table (E16) Impacts of the Program on Time Use

|**Outcomes**|**Treatment**|**(se)**|**FDR**<br>**q-values**|**Control**<br>**mean**|**(sd)**|**N**|
|---|---|---|---|---|---|---|
|FR Childcare & Chores (Hours Last Week)|-6.91***|(2.02)|[0.00]|17.76|(18.39)|1,418|
|Others Childcare & Chores (Hours Last Week)|-0.50|(2.15)|[0.69]|18.54|(18.49)|1,390|

**_Notes_** :

- The table shows the regression results on pre-specified time use outcomes using the 2021 in-person data. Each row is its own dependent variable.

- The independent variable of interest is the TOT treatment indicator, which is the predicted value from a first-stage regression of treatment implementation on treatment assignment.

- The regressions also have assessment month-by-year fixed effects, enumerator fixed effects, community-level controls (Irbid/Mafraq governorate and population quartile), and household-level controls (vulnerability-assessment quartile, shelter program, baseline number of children, baseline number of children plus adults, respondent gender, and respondent age). In the parentheses are robust standard errors clustered at the locality level. Regressions are weighted by the number of people interviewed in each household. Statistical significance represented by * (10%), ** (5%), and *** (1%). Q-values are calculated per Anderson (2008) and correspond to Family 11 in the preanalysis plan.

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