A Minimal Agent-based Model for the Size-frequency Distribution of Firms
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Summary
A cellular automaton model called the Firm Dynamics Model (FDM), introduced to simulate the dynamics of firms within an economy, includes the growth of firms and their mergers and exits.
- Type
- article
- Published
- 2020-03-13
- Cited by
- 0
- References
- 29
- OpenAlex
- https://openalex.org/W3010644611
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:216410439
Keywords
Exponent, Pareto distribution, Power law, Statistical physics, Cellular automaton
References
- Where Gibrat meets Zipf: Scale and Scope of French Firms
- On the endogenous formation of coalitions
- Self-Organized Criticality in Earth Systems
- An overview of steady-state distributions resulting from firm dynamics models
- Gibrat's Legacy
- Statistical Regularities in the Evolution of Industries. A Guide through some Evidence and Challenges for the Theory
- Markov-Perfect Industry Dynamics: A Framework for Empirical Work
- On the Evolution of the Firm Size Distribution: Facts and Theory
- Why are economists sceptical about agent-based simulations?
- Power-Law Distributions in Empirical Data
- An appraisal of firm size distribution: Does sample size matter?
- Self-organized critical forest-fire model.
- Entry, exit, and firm dynamics in long run equilibrium
- ON A CLASS OF SKEW DISTRIBUTION FUNCTIONS
- POWER LAWS ARE LOGARITHMIC BOLTZMANN LAWS
- Percolation and cluster distribution. I. Cluster multiple labeling technique and critical concentration algorithm
- Extension of Hoshen–Kopelman algorithm to non-lattice environments
- Power-law distributions in binned empirical data
- Asymptotics and the Role of Minimal Models
- Zipf Distribution of U.S. Firm Sizes
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