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Brian Engelsma (Harvard Dataverse) produced this dataset to study agricultural seasonality's effect on 145 executive-election results across 32 African countries. It combines satellite-derived harvest metrics with over 100,000 Afrobarometer survey responses to evaluate retrospective voting patterns. The data includes quasi-experimental evidence from two Zambian by-elections to account for election timing endogeneity.
Users should consult the associated research paper for the specific methodology used to transform satellite imagery into agricultural season measures.