Abstract
The pharmaceutical parallel trade market emerged as a consequence of the European single market for pharmaceuticals, involving multiple players that partake in different types of competitions. These competitions not only affect players' profit, but also have a significant impact on European people's healthcare access and welfare. Hence, modeling the pharmaceutical parallel trade market provides a way to study the market and to offer valuable decision support to authorities, people, and players involved in the market. Agent-based modeling offers a computational methodology to study macro-level outcomes emerging from individual behaviors while offering to relax conventional assumptions of standard mathematical economic models. Here, we demonstrate a use case of an agent-based model of the European pharmaceutical parallel trade market and investigate its abilities by analyzing various market scenarios.
| Original language | English |
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| Journal | Procedia Computer Science |
| Volume | 220 |
| Pages (from-to) | 495-502 |
| Number of pages | 8 |
| ISSN | 1877-0509 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | The 14th International Conference on Ambient Systems, Networks and Technologies (ANT) - Leuven, Belgium Duration: 15. Mar 2023 → 17. Mar 2023 |
Conference
| Conference | The 14th International Conference on Ambient Systems, Networks and Technologies (ANT) |
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| Country/Territory | Belgium |
| City | Leuven |
| Period | 15/03/2023 → 17/03/2023 |
Bibliographical note
Funding Information:This work is partly funded by the Innovation Fund Denmark (IFD) under File No. 9065-00207B.
Keywords
- Agent-based modeling
- Modeling
- Pharmaceutical parallel trade
- simulation