Applied economist with a research agenda centred on replication, cumulative science, and policy-relevant econometric modelling. My work is motivated by the view that when a large-scale experiment or major empirical study appears in a leading economics journal, it should not be treated as the end of inquiry. Rather, it creates fertile ground for deeper research. A major study answers an important question, but it also opens new ones: what else can be learned from the same design, data, and empirical setting; which mechanisms require further clarification; and how can the evidence be extended to improve scientific understanding and policy design? This perspective leads me to work across development, health, energy, environment, productivity, and technological change. Across these fields, I use applied econometric and Bayesian methods, including causal, hierarchical, panel-data, state-space, and stochastic frontier models, to draw additional insight from important empirical evidence. My broader aim is to strengthen replication as a constructive research agenda: verifying results, deepening interpretation, and turning influential studies into platforms for further scientific and policy learning.

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