Research
My work sits at the intersection of labor and behavioral economics, with a growing focus on how new technologies — AI and homeoffice chief among them — are reshaping work. I like projects that are useful to policymakers and industry partners, not just to other economists.
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Working from Home and Labor Market Outcomes
Working PaperHow has the shift to remote and hybrid work reshaped wages, mobility, and career trajectories in Austria? This project uses linked administrative employer-employee data to trace how working-from-home arrangements affect labor market outcomes over time.
Supported by a Small-Scale Projects Grant (EUR 8,000) and a Research Grant (EUR 3,000) from WU Vienna.
- Labor Economics
- Working from Home
- Administrative Data
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AI Exposure in the Austrian Labor Market
OngoingWhat does the Austrian labor market actually look like in the age of generative AI? This project builds occupation- and task-level measures of AI exposure by classifying large volumes of job postings and task descriptions with large language models, in collaboration with karriere.at.
I’m currently obsessed with what LLM-based classification makes possible for this kind of work — using models to code open-text task descriptions at a scale and granularity that was not feasible with earlier NLP tools, while still validating carefully against human-coded benchmarks.
- AI & Labor
- LLM Classification
- Labor Economics
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Gender in Emergency Medical Services
Working PaperDoes the gender of emergency medical personnel affect patient outcomes? This project combines administrative health records with econometric methods to study gender dynamics in emergency care.
- Health Economics
- Gender
- Administrative Data
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Fifty-Five Crowd-Sourced Designs Assessing Carbon Pricing Support
Conditionally AcceptedConditionally accepted at Nature Human Behaviour. A carbon price is an effective, cost-efficient way to cut emissions, but low public acceptance keeps holding back real-world adoption. This pre-registered “many-designs” project brought together international research teams — my team among them — who each independently designed a behavioral intervention meant to increase support for carbon pricing. All 55 interventions were then tested simultaneously with almost 20,000 U.S. residents.
The interventions moved support only slightly (small but statistically significant effects), with fairly low heterogeneity across the very different designs teams came up with. One of the more interesting findings: researchers were substantially overconfident about how well their own — and their peers’ — interventions would work, a useful data point on how the field calibrates its expectations.
- Behavioral Economics
- Climate Policy
- Large-Scale Collaboration
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Loss Aversion and Energy Conservation
Field ExperimentDoes framing electricity bills as potential losses rather than foregone gains change how households conserve energy? This field experiment tests core predictions of prospect theory in a real-world setting, implemented in collaboration with the two largest distribution system operators in Upper Austria, Linz Netz GmbH and Netz Oberösterreich GmbH. Participating households used the INNOnet smartphone app, which gives high-frequency feedback based on smart-meter data.
- Behavioral Economics
- Field Experiment
- Energy