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Field
Primary Outcomes (End Points)
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Before
(1) Employment
Y1: Employment status (working or not, working in paid employment or not, by work category – salaried, casual, self-employed etc.)
Y2: Number of days worked in the past 3 months
Y3: Number of hours worked in the past 3 months
Y4: Earnings in the last 3 months (Rs.)
Y5: Average hourly wage rate in the last 3 months (Rs.)
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After
(1) Employment
Y1: Current employment status (working or not, work status by work category, work status by whether working in the preferred (beauty) sector)
Y2: Number of days worked in the past 3 months
Y3: Number of hours worked in the past 3 months
Y4: Earnings in the last 3 months (Rs.)
Y5: Average hourly wage rate in the last 3 months (Rs.)
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Field
Secondary Outcomes (End Points)
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Before
1: Number of days/hours worked by work categories (e.g. salaried, casual, self-employed etc.) in the last 3 months
2: Earnings across categories (e.g. salaried, casual, self-employed etc.) in the last 3 months.
3. Quality of employment: Whether received any social security benefit, healthcare benefit, written contract.
4. Confidence: In searching or applying for a job on a digital/gig platform; interviewing for a job; preparing a resume; managing social media account for marketing.
5. Aspiration: An index consisting of expected salary, preference between home-based vs outside-home work outside home, preference between full-time vs part time work, work aspirations in the next 2 years.
6. Job search behavior: Outcomes consisting of number of job applications made, number of job offers received, whether searched for a job, modes of search used (online mode).
7. Decision making: an index of binary variables that equal one if the respondent participates in decisions regarding education, skilling, work, health, clothes and marriage (for those unmarried).
8. Mobility: An index consisting of binary variables for whether a woman needs permission or can go alone to the following locations: health centre, home of relatives or friends (in the neighbourhood), go to the short distance (within city) by bus or three-wheeler, and go to the long distance (like outside city) by train or bus.
9. Gender attitudes: For each statement in our module about gender attitudes, we code the variable to equal 1 if the respondent gives the attitude that is more “liberal” about gender and create an index across statements.
10. Satisfaction: An index consisting of a set of variables that ask about their satisfaction on a 1-10 scale with education, skills, work, financial situation, and life.
11. Self-efficacy: An index consisting of a set of variables that ask about their ability to achieve goals, face difficult situations, overcome challenges and multitasking.
12. Domestic violence: For each of 5 types of violence, we code a binary variable that equals one if a woman faced it and thereafter construct an index.
13. Spill-over effects to other household members: Impact of the intervention on the economic behavior, specifically employment related outcomes, of other household members.
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After
1: Number of days/hours worked by work categories in the last 3 months and in the preferred (beauty) sector
2: Earnings across work categories and in the preferred (beauty) sector in the last 3 months.
3. Employment attributes: e.g. benefits, location of workplace, time taken to travel.
4. Confidence: In searching or applying for a job on a digital/gig platform; interviewing for a job; preparing a resume; managing social media account for marketing.
5. Aspiration: An index consisting of expected salary, preference between home-based vs outside-home work outside home, preference between full-time vs part time work, work aspirations in the next 2 years.
6. Job search behavior: Outcomes consisting of number of job applications made, number of job offers received, whether searched for a job, modes of search used (online mode).
7. Decision making: an index of binary variables that equal one if the respondent participates in decisions regarding education, skilling, work, health, clothes and marriage (for those unmarried).
8. Mobility: An index consisting of binary variables for whether a woman needs permission or can go alone to the following locations: health centre, home of relatives or friends (in the neighbourhood), go to the short distance (within city) by bus or three-wheeler, and go to the long distance (like outside city) by train or bus.
9. Gender attitudes: For each statement in our module about gender attitudes, we code the variable to equal 1 if the respondent gives the attitude that is more “liberal” about gender and create an index across statements.
10. Satisfaction: An index consisting of a set of variables that ask about their satisfaction on a 1-10 scale with education, skills, work, financial situation, and life.
11. Self-efficacy: An index consisting of a set of variables that ask about their ability to achieve goals, face difficult situations, overcome challenges and multitasking.
12. Domestic violence: For each of 5 types of violence, we code a binary variable that equals one if a woman faced it and thereafter construct an index.
13. Spill-over effects to other household members: Impact of the intervention on the economic behavior, specifically employment related outcomes, of other household members.
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