Reproducibility package for Economic Impact Of Cameroon’s Anglophone Crisis: A Forward Difference-In-Differences Approach

The economic consequences of violent conflict pose significant challenges for development policy, yet measuring these impacts remains methodologically difficult in data-scarce environments. This paper employs the novel Forward Difference-in-Differences estimator with satellite-based nighttime light intensity data to analyze the economic impact of Cameroon’s Anglophone Crisis and associated recovery efforts. Using quarterly data from 2013-2024 across 105 subnational regions, we find that the conflict reduced mean nighttime light intensity by 25 percent and total output by 28 percent in the Northwest region over seven years. Conversely, targeted economic recovery investments in the Southwest region likely increased both measures by approximately 32 percent over five years following intervention. Our methodology addresses key limitations of traditional difference-in-differences and synthetic control methods when applied to heterogeneous donor pools by selecting optimal subsets of control units whose pre-treatment trajectories most closely match treated units. The results demonstrate that modern causal inference methods combined with satellite remote sensing data provide credible estimates of conflict’s economic costs and recovery potential in fragile and conflict-affected states where conventional data sources are unreliable.