The MCC-CDD Philippines study is a rigorous impact evaluation of a large-scale community-driven development (CDD) program, Kalahi-CIDSS, implemented by the Government of the Philippines. The evaluation will measure the social capital, governance and socio-economic effects of the program. In order to understand the program’s impacts, the study has randomly assigned 198 eligible municipalities into treatment and control groups. This randomization involved pairing comparable municipalities (based on their province, poverty levels and population densities) and holding public lottery drawings to allocate one of the municipalities in each pair to the treatment group that would be eligible to participate in the program. The study will measure the program's impacts through surveys of households and community leaders in a random sample of villages from the 198 randomly selected municipalities participating in the study (one village per municipality).
Consumption, labor force participation, community participation, trust, corruption
Primary Outcomes (explanation)
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
This study consists of 198 randomly selected municipalities. The randomization involved pairing comparable municipalities (based on their province, poverty levels and population densities) and holding public lottery drawings to allocate one of the municipalities in each pair to the treatment group that would be eligible to participate in the program. The study will measure the program's impacts through surveys of households and community leaders in a random sample of villages from the 198 randomly selected municipalities participating in the study (one village per municipality).
Experimental Design Details
Randomization Method
Public lottery
Randomization Unit
Municipality
Was the treatment clustered?
Yes
Sample size: planned number of clusters
198 municipalities
Sample size: planned number of observations
198 municipalities with 198 surveyed villages (1 randomly selected per municipality) and 5,940 surveyed households (30 randomly selected per village)
Sample size (or number of clusters) by treatment arms
99 treatment and 99 control municipalities.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)