Secondary Outcomes (explanation)
Heterogeneity: In addition to the overall impact evaluation, we plan to analyze two important dimensions of heterogeneity
• Multiple applications: for households that apply in batch X, compare impacts for winners from batch X with impacts from those who lose batch X but reapply and win in a subsequent batch. We will focus on batches for which there is immediate and/or short delay between the announcement of one batch and the application to the next batch.
• Gender: for households where multiple family members apply in the same batch, how do outcomes differ if a male vs. female applicant is randomly selected as the winner in that batch.
Note that for these outcomes, we will consider the primary outcomes above, as well as additional primary outcomes from the administrative data (number of reapplications, type of training course chosen, share of available training budget spend, and time to first stipend disbursal).
When possible, depending on timing of data source, we will do heterogeneity based on whether those randomized to receive the program are currently / recently getting the stipend as of the time of the survey.
We will also do secondary heterogeneity analysis based on demographics (age, education, gender, rural/urban, java/off java, and baseline occupation if available).
Descriptive Analysis of Program Uptake: We will also provide descriptive analysis of program uptake using baseline data matched to administrative data for eligible populations, including marginal value of income (consumption, wages), baseline internet access (cell phone coverage, smartphone/laptop ownership), gender / recent maternity status, previous employment, disability, and other demographics.