Skip to content

The firm is the institutional means that employees use to work together and achieve economies of scale whereas applying the same level of effort. This work investigates the dynamic process of aggregation of individuals in firms, reflecting the dynamics of the firms themselves. A network-based agent-model is adapted from Axtell (2013) and simulat…

Notifications You must be signed in to change notification settings

BAFurtado/Axtells-Firms-Networks

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Dinâmica endógena de firmas formadas por agentes em rede: uma análise exploratória

Endogenous dynamics of firms made up by networked agents: an exploratory analysis

This is an adaptation of Axtell (2013) model of endogenous firms. This model applies Axtell's model including one change in the network.

How to cite?

This working paper has been published. Please, cite as: FURTADO, Bernardo Alves; MESSA, Alexandre Silva; EBERHARDT, Isaque Daniel Rocha and MACIENTE, Aguinaldo N. Endogenous dynamics of firms made up by networked agents: an exploratory analysis RADAR, n. 45, p. 19-32, IPEA: Brasília, 2016.

Available here https://www.researchgate.net/publication/304659905_Dinamica_endogena_de_firmas_formadas_por_agentes_em_rede_uma_analise_exploratoria

Who to talk to?

[email protected]

Setting up the simulation

In order to run the model you have to set at the parameters.py

  1. OUTPUT_PATH which is a directory where the program will save data and figures
  2. Determine at parameters.py the length of the model (final_time) and the adjustment time. We suggest 600 and 200.
  3. Define the percentage of population to run. We run using data for Brasília and its neighboring municipalities and run with a 0.05% percentage. You can replace pop.csv with your own set of municipalities and their population numbers.

Running it

You have two options to run the model. A single run - in which the network is complete - so that all agents can connect with all other agents.

Or you can restrict the network to only those agents that are located at the same municipality.

To run the single model, alter controller to False in parameters and simply run:

python main.py

To run the model twice, once for the full the network True and once for the restricted network False, alter controller to True in parameters and simply run:

python control.py

About

The firm is the institutional means that employees use to work together and achieve economies of scale whereas applying the same level of effort. This work investigates the dynamic process of aggregation of individuals in firms, reflecting the dynamics of the firms themselves. A network-based agent-model is adapted from Axtell (2013) and simulat…

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages