Estimates of Sampling Error
Baseline differences between the treatment and control groups were estimated in a regression framework. This regression model enabled us to account for the features of the evaluation design, specifically the stratified random assignment. In addition, because the unit of random assignment is the community, to obtain the correct standard error for the baseline differences we had to account for the fact that outcomes in the same communities are likely correlated. The regression model enabled us to account for this using the “cluster” correction in Stata, with the community as the level of clustering.
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