Johannes Bleher

I am Dr. Johannes Bleher, Akademischer Oberrat (Senior Lecturer) at the Institute of Econometrics and Empirical Economic Research at the University of Hohenheim in Stuttgart. My work connects applied econometrics, data science, finance, and computational teaching.

Recent projects study regional implementation-capacity frictions, hydrological supply shocks and fuel markets, Bayesian evidence processes, and distributional forecasting methods. I also teach and build reproducible workflows for empirical research with R, Python, and modern data-science tools.

I received my PhD in Economics and Finance from the University of Tübingen in 2021, with work on robust estimation and quantile-regression-based density forecasts. I also run an independent consultancy for data, web-application, and portfolio-allocation projects; earlier roles at the European Parliament continue to shape my policy-facing work.

Public practice

Here you can see the “public rehearsals” of my research: working through real data, constraints, and revisions before polished outputs.

• Local Implementation-Capacity Frictions in Baden-Wuerttemberg now links a revised non-peer-reviewed working paper on H-SCFI-Live, a county-year screen for where direct administrative diagnosis and better implementation-capacity data are most needed.

• Hydrological Shocks and Fuel-Supply Resilience now has a non-peer-reviewed working paper linking river, logistics, and price data to study inland transport disruptions.

• Estimating Road-Closure Costs with Limited Demand Data develops a method for estimating disruption costs when traffic counts are available but trip origins and destinations are unknown. The non-peer-reviewed working paper examines how spatial demand assumptions affect cost estimates and mitigation decisions.

• Recursive Ordering in a Multi-Venue VECM uses a multi-venue IBM price panel to test whether ordering diagnostics identify venue leadership or mainly reveal specification sensitivity.
• Dynamic Generator Inversion for Observable Conditional Distributions builds a reproducible approach to distributional forecasting via conditional adjustment generators.

For collaborations, supervision, or invited talks, email me at mail@johannes-bleher.de.