About me
I am an environmental economist with a particular interest in environmental valuation, discrete choice modeling, and applied econometrics.
My research applies economic tools to provide a better understanding of human behavior and support evidence-based policymaking. I currently work at the Berlin School of Economics and Law, where my work integrates high-resolution spatial data into behavioral modeling to analyze environmental policy impacts and help inform management decisions.
Feel free to contact me at oliver@pksb.de
Links
Research interests
- Environmental valuation
- Discrete choice modeling
- Econometrics
- GIS and spatial analysis
Publications
Applying the contingent behavior method at the regional level: Evidence from forest recreation (with T. Börger & J. Meyerhoff), Land Economics (accepted), 2026.
We study recreational forest values using the contingent behavior (CB) method in a general population survey, together with experimentally designed CB scenarios and perception data on current site conditions. This enables modeling recreation demand regionally and across numerous attributes, but requires adjusting prediction procedures. Using data from northeastern Germany, we develop approaches for site and region level predictions.
Understanding recreational anglers’ perceptions of stock trend, status, and regime shifts in the western Baltic cod (Gadus morhua) (with W. N. S. Arlidge, J. Bronnmann, C. Riepe & R. Arlinghaus), Reviews in Fish Biology and Fisheries, 2026.
Using survey data from German recreational cod anglers, we examine how anglers perceive stock decline and potential regime shifts following the collapse of the western Baltic cod fishery. We identify key experiential and attitudinal factors shaping these perceptions, showing that more experienced anglers and those supportive of management are more likely to align with scientific assessments. Taken together, these insights can help resource managers strengthen stakeholder acceptance of necessary regulatory measures and better target communication efforts.
Sampling of alternatives in spatial decision contexts with logit and logit mixture models: Simulation and Application to Freshwater recreation in Germany (with T. Börger & J. Meyerhoff), Resource and Energy Economics, 84, 2025.
We study how large choice sets can be handled efficiently in destination choice contexts, where travel costs as the central attribute are typically highly skewed. Using Monte Carlo simulations and empirical data, we show that estimation quality generally declines as travel cost sensitivity increases, while weighted (strategic) sampling substantially outperforms uniform sampling.