Replicates Nigeria egg demand-creation study; adds targeting & media-mix optimization. This repository fully replicates the Nigeria egg demand-creation study and extends it with an optimization layer. The code cleans and reconstructs survey indices, reproduces primary ANCOVA and secondary DiD/Tobit results with clustered SEs, rebuilds geo-exposure (≤2 km to BTL activities), and runs policy-learning experiments (uplift/CATE) to optimize who/where to target under a budget and how to balance ATL vs BTL. Outputs include matched tables/figures and simulated roll-out plans to maximize child egg consumption or household acquisition subject to cost constraints. "Data not included due to confidentiality agreements."
ericdjim/eggscampaign-ng-replication-optimization
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