Table (E6) Impacts of the Program on Earnings, Labor, & Occupational Choice

|**Outcomes**|**Treatment**|**(se)**|**FDR**<br>**q-values**|**Control**<br>**mean**|**(sd)**|**N**|
|---|---|---|---|---|---|---|
|Self-Employment (=1)|-0.02|(0.02)|[0.45]|0.01|(0.12)|1,422|
|Wage-Employment (=1)|-0.05|(0.06)|[0.54]|0.25|(0.44)|1,422|
|Employment (=1)|-0.05|(0.06)|[0.54]|0.26|(0.44)|1,422|
|Total Earnings in Last 30 Days (PPP, IHS)|-0.51|(0.38)|[0.33]|1.59|(2.83)|1,422|
|Total Labor Hours Last Week|-3.29|(2.35)|[0.33]|7.72|(18.73)|1,422|
|Total Labor and Chores Hours Last Week|-10.62***|(3.24)|[0.01]|25.54|(23.39)|1,422|
|Total Labor Hours [Monthly Average]|-0.65|(8.20)|[0.78]|24.19|(67.80)|1,422|
|Wage-Employment Hours Last Week|-2.48|(2.34)|[0.49]|7.54|(18.45)|1,414|
|Self-Employment Hours Last Week|-0.64|(0.46)|[0.33]|0.22|(3.30)|1,422|
|<br>Wage-Employment Adult Labor Hours Last Week|0.01|(4.53)|[0.78]|18.66|(29.85)|1,422|
|Net Wage-Employment Income Last Month (PPP,IHS)|-0.46|(0.37)|[0.40]|1.56|(2.81)|1,417|
|Any Seasonal Wage-Employment (=1)|-0.07*|(0.04)|[0.25]|0.07|(0.26)|1,422|
|Any Manufacturing Employment (=1)|0.05**|(0.02)|[0.21]|0.01|(0.08)|1,137|
|<br>Any Construction Employment (=1)|-0.12***|(0.05)|[0.11]|0.09|(0.29)|1,150|
|<br>Any Service Employment (=1)|-0.02|(0.04)|[0.67]|0.09|(0.28)|1,166|
|Any High-Skill Service Employment (=1)|-0.02|(0.04)|[0.67]|0.08|(0.27)|1,149|
|Any Low-Skill Service Employment (=1)|0.00|(0.02)|[0.78]|0.01|(0.11)|1,069|
|Any Trade Employment (=1)|-0.01|(0.01)|[0.52]|0.01|(0.10)|1,062|
|<br>Any Formal Business (=1)|-0.02**|(0.01)|[0.23]|0.01|(0.08)|1,411|
|Self-Employment Revenues Last Year (PPP,IHS)|-0.15|(0.11)|[0.33]|0.08|(0.72)|1,419|
|Any Loss of Business Control (=1)|-0.01|(0.01)|[0.33]|0.00|(0.05)|1,407|
|<br>Self-Employment Profts Last Year (USD PPP)|-82.56*|(43.83)|[0.25]|28.18|(374.36)|1,419|
|Job Search (Weeks)|-0.80|(2.69)|[0.67]|5.63|(8.68)|306|
|Focus Respondent Childcare & Chores (Hours)|-6.91***|(2.02)|[0.01]|17.76|(18.39)|1,418|

**_Notes_** :

- The table shows the regression results on pre-specified labor market outcomes of the Focus Respondent using the 2021 in-person data. Each row is its own dependent variable.

- The outcomes that require definitions are: Total Earnings is defined as the total of business profits and net wage salary in all jobs and is transformed using the inverse hyperbolic sine transformation. Total Labor Hours [Monthly Average] is defined as average weekly wage-employment hours multiplied by the numbers of months worked in last 12 months multiplied by 52/12 to obtain a monthly average of all jobs. Wage-Employment Adult Labor Hours Last Week is the sum of respondent hours and total hours where adults (other than respondent) in the household were working. Net Wage-Employment Income is defined as gross salary plus benefits minus taxes in all jobs. High-Skill Service Employment refers to employment in the sectors of Utilities, Transportation and warehousing, Health care and social assistance, Arts, entertainment, recreation, and Accommodation and food services. Low-Skill Service Employment refers to employment in the sectors of Wholesale or retail trade, Information, Finance and insurance, Real estate, Professional, scientific, and technical services, Management, Administrative support, and Education.

- 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.

- Monetary values are in USD PPP. Total Earnings in Last 30 Days, Taxes Paid in Last 30 Days, Net Wage-Employment Income Last Month, Self-Employment Profits, Expenses, and Revenues Last Month and Year, Self-Employment Profits Last Year, Total Employees Last Month, Self-Employment Rent Last Month, and Total Labor Hours [Average] are winsorized at the top 1% of values in order to limit the influence of outliers.

- 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 4 in the preanalysis plan.

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