Daniel M. Mayerhoffer
University of Bamberg
13 Papers
5 Citations
Daniel M. Mayerhoffer is an academic researcher from University of Bamberg. The author has contributed to research in topics: Computer science & Inequality. The author has an hindex of 2, co-authored 3 publications.
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Papers
A network-based explanation of inequality perceptions
Jeanne V. Von Schulz,Daniel M. Mayerhoffer,Anna Gebhard +2 more
TL;DR: The authors proposed a network-based explanation of perceived inequality building on recent advances in random geometric graph theory, which produces social networks that exhibit salient features of real-world networks, testifying to the robustness of their approach.
Equal chances, unequal outcomes? : Network-based evolutionary learning and the industrial dynamics of superstar firms
Jan Schulz,Daniel M. Mayerhoffer +1 more
TL;DR: The authors studied the effect of heterogeneous initial productivities arising from locally segregated markets on aggregate outcomes, e.g., regarding revenue distributions, and found that most intensive local competition leads to the highest concentration, whilst the lowest concentration appears for a mild degree of (local) oligopoly.
Perception and privilege
Daniel M. Mayerhoffer,Jan Schulz +1 more
TL;DR: In this paper , an agent-based model of localised perceptions of the gender and racial wage gap in networks is proposed to explain these disparities, and the results suggest that educational interventions about the global state of gender equality are much more likely to succeed than information treatments about overall inequality and that these interventions should target the privileged.
One Model, Multiple Stories? Using Agent-Based Models to Unveil Structural Similarities in a Complex World
Daniel M. Mayerhoffer
- 29 Mar 2023
TL;DR: In this paper , the authors argue that such transfer of the structure of an Agent-Based-Model from one real world application to another is indeed possible by means of story adaptation to the new application case.