My work relies on applied microeconometric methods for policy evaluation using subnational and spatially referenced data. The empirical approach draws on panel data econometrics, difference-in-differences frameworks, event-study designs, and the integration of georeferenced information. Spatially disaggregated datasets — including satellite-based indicators such as nighttime light intensity — are used to capture local economic activity and to account for spatial dependence and spillover effects.

The research design places strong emphasis on identification and robustness, combining observational data with high-resolution spatial information to study economic outcomes in conflict-affected and developing contexts. Where feasible, planned projects also incorporate original survey data collection and experimental components to improve measurement of local conditions and strengthen causal interpretation.

Although my doctoral research agenda is still developing, these methods provide the foundation for work centered on empirical analysis, spatial methods, and policy-relevant economic questions.

Related interests examine the relationship between economic development, resource use, and vulnerability through the use of spatially disaggregated and satellite-based data. This includes studying how patterns of economic activity evolve across income levels and how these shifts relate to local resource pressures and externalities.

Planned survey work also incorporates behavioral and prosocial components to analyze preferences, cooperation, and responses under hybrid security governance. More broadly, this line of research links economic activity and resource constraints to welfare outcomes and local development dynamics.