Experimental Design Details
First, Markets were assigned to treatment (have some individuals in them invited to training) or control (no one in the market would be invited to training) status. Randomization was done within 35 strata defined by geographical region (within county) and the number of women surveyed in the market. In Kakamega and Kisii the size strata were 26 or under, 27 to 30, 31+; in Embu the size strata were <20 or 20+, and in Kitui the size strata varied within smaller geographic clusters between the two cuts used elsewhere. The need to ensure sufficient numbers for training meant that more than half the markets were allocated to treatment, with 93 markets assigned to treatment and 64 to control.
Then within each market, Individuals were assigned to treatment (be invited to training) or control (not be invited to training) within treated markets by forming four strata, based on quartiles of weekly profits from the census (<=450, 451-800, 801-1500, 1501-4000), and then assigning half the individuals within each strata to training. When the number of individuals in the strata was odd, the odd unit was also randomly assigned to training. This resulted in 1173 of the 2161 individuals in treated markets being assigned to treatment, and 988 to control.
Treated Individuals were further randomly assigned to one of three treatment invitation types within market. Individuals received one of three types of invitations: opt-in, active choice, or enhanced active choice.