Back to Search
Start Over
A Heterogeneous Agent Macroeconomic Model for Policy Evaluation: Improving Transparency and Reproducibility
- Source :
- SSRN Electronic Journal
-
Abstract
- This paper provides a detailed description of the Eurace@Unibi model, which has been developed as a versatile tool for economic policy analysis. The model explicitly incorporates the decentralized interaction of heterogeneous agents across different sectors and regions. The modeling of individual behavior is based on heuristics with empirical microfoundations. Although Eurace@Unibi has been applied successfully to different policy domains, the complexity of the structure of the model, which is similar to other agent-based macroeconomic models, has given rise to concerns about the reproducibility and robustness of the obtained insights. This paper addresses these concerns by describing the exact details of all decision rules, interaction protocols and balance sheets used in the model. Furthermore, we discuss the use of a virtual appliance as a tool allowing third parties to reproduce and verify the simulation results. The paper provides a systematic and extensive sensitivity analysis of the simulation output with respect to a set of key parameters. Particular emphasis is put on the question which parameter constellations give rise to strong economic fluctuations and high frequencies of sudden downturns in economic activity.
- Subjects :
- Structure (mathematical logic)
policy analysis
etace_agent_based_modelling
Virtual appliance
virtual appliance
agent-based economics
05 social sciences
Decision rule
Policy analysis
Industrial engineering
Macroeconomic model
0502 economics and business
Economics
Operations management
050207 economics
Eurace@Unibi
Robustness (economics)
Heuristics
reproducibility
agent-based macroeconomics
Microfoundations
050205 econometrics
Subjects
Details
- Language :
- English
- ISSN :
- 15565068
- Database :
- OpenAIRE
- Journal :
- SSRN Electronic Journal
- Accession number :
- edsair.doi.dedup.....41aef198531d39acac000f03c53ad0cf
- Full Text :
- https://doi.org/10.2139/ssrn.2773539