How fair are government decisions based on algorithmic predictions? And to what extent can the government delegate decisions to machines without sacrificing procedural fairness? Using a set of vignettes in the context of predictive policing, school admissions, and refugee-matching, we explore...

The fragmentation of the party system has confronted the German mixed-member proportional electoral system with a trilemma. It can only ensure two out of three goals: proportionality, guaranteed representation of district winners, and a fixed and predictable size of the Bundestag. This paper...

Automated decision-making in legal contexts is often perceived as less fair than its human counterpart. This human-automation fairness gap poses practical challenges for implementing automated systems in the public sector. Drawing on experimental data from 4,250 participants in three public...

This paper studies the differential effects of fines and damages on people's investment in accident prevention. We report results from a laboratory experiment in which monetary payoffs are maintained across the two policy instruments. While standard theory predicts no difference in behavior, we...