Martina is a PhD-track economist focused on environmental and public policy, with a soft spot for clean identification and messy real-world data. She studies how air-quality rules and energy-efficiency policies shape outcomes across places and income groups. Recently, her master’s thesis examined PM2.5 exposure and the impact of EU Air Quality Plans on inequality, and she has worked on Germany’s energy transition (retrofit rates, final energy demand) in the ARIADNE project. Before that, she supported empirical work at RWI and the University of Mannheim. When she’s not running event studies, you’ll find her sailing, cycling, or playing tennis.
- ARIADNE project: Measure retrofit behavior and final energy demand to quantify Germany’s energy-efficiency gap.
- Subsidies: Evaluate which grant designs raise cost-effective retrofits and lower household energy bills.
- Energy poverty: Assess targeting and take-up to ensure policies reach low-income households.
- Air quality: Estimate the causal impact of EU Air Quality Plans on PM2.5 and distributional outcomes across municipalities.
- Teaching Assistant — Macroeconomics A (BSc), University of Mannheim, Summer Semester 2022 — led tutorials, graded problem sets and coding assignments.
- Tutor — Environmental Economics (MSc), Johannes Gutenberg University Mainz, Summer Semester 2025 — designed and ran weekly tutorials.
- Tutor — Using Economics to Solve Environmental Problems (BSc), JGU Mainz, Summer Semester 2025 — delivered tutorials focused on empirical applications.
- Seminar Instructor — Empirical Climate Change Economics (BSc), JGU Mainz, Winter Semester 2025/26 — supervising bachelor seminar projects and empirical replication work.
Martina helped build an R pipeline to compute building-level final energy demand from ARIADNE’s GHHP Wärme- & Wohnen-Panel, implementing the IWU Kurzverfahren Energieprofil with parameter tables for U-values, climate coefficients, and system efficiencies. The code will be released on GitHub and is configured for fast, one-click replication, with documented data sources.