I am an applied economist interested in using econometric methods to answer practical economic and policy questions. My research spans health, agriculture, environment and water, energy, political economy, and housing. I enjoy applying econometric methods across different fields, both because the problems are interesting and because this creates opportunities to learn from and work with researchers from different disciplines. My methodological interests include causal inference, panel-data models, stochastic frontier analysis, hierarchical and state-space models, and Bayesian econometrics. I am particularly interested in Bayesian modelling using Stan and in developing models that can deal with heterogeneity, uncertainty, and complex empirical problems. I also enjoy supervising students and helping them develop applied research skills. I believe students learn econometrics best by working with real data and reproducing published research, where they encounter the practical choices involved in estimation, coding, robustness checks, and interpretation. Replication and research transparency are an additional part of my research interests. I see replication as a useful way to verify results, understand existing studies more closely, and identify questions that can lead to new empirical work.

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