Carl Bonander

 
Senior Lecturer/Associate Professor

Research

My research focuses on applied econometrics, causal inference, health economics, and policy evaluation. I develop and apply quantitative methods to estimate the causal effects of health interventions and public policies, often using population registers and other observational data. My work includes evaluations of screening programs, preventive interventions, vaccination policies, and health-related legislation.

I am particularly interested in quasi-experimental research designs, generalizability, and variation in effects across populations and settings. I also work on reproducibility and transparent quantitative research. Much of my research is interdisciplinary, connecting economics, statistics, epidemiology, and public health.

My CV, including publications, is available here.

Teaching

I mainly teach research methods, causal inference, and econometrics, alongside supervising student research projects.

Selected publications

Brodeur, A., et al. (2026). Reproducibility and robustness of economics and political science research. Nature, 652, 151–156.


Bonander, C., Blangiardo, M., & Strömberg, U. (2026). Spatial difference-in-differences with Bayesian disease mapping models. Epidemiology, 37(1), 30–38.


Lin, Q., Bonander, C., & Strömberg, U. (2026). A Bayesian bivariate spatial modeling framework for stage-specific cancer incidence and targeting of screening efforts. American Journal of Epidemiology, 195(9), 2430–2439.


Bonander, C., et al. (2025). Atrial fibrillation screening for stroke prevention: An instrumental variables meta-analysis addressing varying participation rates. Europace, 27(2), euaf030.


Bonander, C., et al. (2024). A capture-recapture-based ascertainment probability weighting method for effect estimation with under-ascertained outcomes. Epidemiology, 35(3), 340–348.


Nilsson, A., Björk, J., & Bonander, C. (2023). Proxy variables and the generalizability of study results. American Journal of Epidemiology, 192(3), 448–454.


Bonander, C., Humphreys, D., & Degli Esposti, M. (2021). Synthetic control methods for the evaluation of single-unit interventions in epidemiology: A tutorial. American Journal of Epidemiology, 190(12), 2700–2711.


Bonander, C., & Svensson, M. (2021). Using causal forests to assess heterogeneity in cost-effectiveness analysis. Health Economics, 30(8), 1818–1832.


Bonander, C. (2021). A flexible synthetic control method for count data and other nonnegative outcomes. Epidemiology, 32(5), 653–660.


Nilsson, A., Bonander, C., Strömberg, U., & Björk, J. (2021). A directed acyclic graph for interactions. International Journal of Epidemiology, 50(2), 613–619.

Publications