Research
My current research focus is on econometric methods for investigating spillover effects, modelling connectivity, and the uncertainty around that. I am also interested in the drivers of deforestation and development issues.
Work-in-progress
- Kuschnig, N., Zens, G., and Crespo Cuaresma, J. (2022). Hidden in plain sight: influential sets in linear regression. PDF: .
- Kuschnig, N. (2023). Shrinkage in space — spillovers in a Bayesian hierarchical model. PDF: .
- Kuschnig, N., Vashold, L., Soterroni, A., and Obersteiner, M. (2023). Eroding resilience of deforestation interventions — evidence from Brazil’s lost decade. PDF: .
- Kuschnig, N., Vashold, L. (2022): The economic impacts of malaria: past, present, future. PDF: .
Publications
- Giljum, S., Wegner Maus, V., Kuschnig, N., Luckeneder, S., Tost, M., Sonter, L., and Bebbington, A. (2022). A pantropical assessment of deforestation caused by industrial mining. Proceedings of the National Academy of Sciences, 119(38):e2118273119, DOI: 10.1073/pnas.2118273119.
- Kuschnig, N. (2022). Bayesian spatial econometrics: a software architecture. Journal of Spatial Econometrics, 3(1):6–25, DOI: 10.1007/s43071-022-00023-w.
- Kuschnig, N. and Vashold, L. (2021). BVAR: Bayesian vector autoregressions with hierarchical prior selection in R. Journal of Statistical Software, 100(14):1–27, DOI: 10.18637/jss.v100.i14.
- Kuschnig, N., Crespo Cuaresma, J., Krisztin, T., and Giljum, S. (2021). Spillover effects in agriculture drive deforestation in Mato Grosso, Brazil. Scientific Reports, 11(1):1–9, DOI: 10.1038/s41598-021-00861-y.
- Kuschnig, N. (2021). Inadequate methods undermine a study of malaria, deforestation and trade. Nature Communications, 12(1):1–3, DOI: 10.1038/s41467-021-22514-4.
- Bruckner, M., Wood, R., Moran, D., Kuschnig, N., Wieland, H., Maus, V., and Börner, J. (2019). FABIO — the construction of the food and agriculture biomass input-output model. Environmental Science & Technology, 53(19):11302–11312, DOI: 10.1021/acs.est.9b03554.