Available here in Portuguese [Soon in English]: http://www.ipea.gov.br/portal/index.php?option=com_content&view=article&id=32743&Itemid=433
This is an open agent-based model with three markets and a tax scheme that empirically simulates 46 Brazilian metropolitan regions.
Developed by Bernardo Alves Furtado, funded by Institute of Applied Economic Research (IPEA). The author acknowledges receiving a grant of productivity by National Council of Research (CNPq).
This work is licensed under GNU General Public License v3.0
PolicySpace: a modeling platform. (accepted to) https://arxiv.org/abs/1801.00259 CAPS 2018: Complexity and Policy Studies UNCC - George Mason University - April 18 (but not presented).
https://www.researchgate.net/profile/Bernardo_Furtado
Bernardo Alves Furtado, Francis Tseng
Bernardo Alves Furtado, since beginning:(conception, design, coding - agents, markets, timeframe, general) Isaque Daniel Rocha Eberhardt, 16 months:(design, coding - 'controls', 'plottings', 'parameters') Alexandre Messa (some suggestions) [4 months] Davoud Taghawi-Nejad (early-on pontual suggestion)
We recommend using conda and creating an environment that includes all libraries simultaneously. Type on a terminal, after having downloaded and installed conda.
conda create -n e36 python=3.6 gdal fiona geopandas numpy mkl scikit-learn numba joblib click click-plugins cligj cycler descartes llvmlite munch numba pandas pyparsing pyproj python-dateutil pytz scipy shapely joblib Flask Flask-WTF WTForms psutil -c conda-forge
Using the above code will install the libraries.
Then, you have to activate the newly created environment with the command: activate <your_env>.
If any of the libraries were not available on conda-forge, use pip install -U scikit-learn
, for example.
** Unzip file mun_ibge_2014_latlong_wgs1984_fixed.zip **
To locally configure the simulation's parameters, create the following files as needed:
conf/run.py
for run-specific options, e.g.OUTPUT_PATH
for where sim results are savedconf/params.py
for simulation parameters, e.g.LABOR_MARKET
.
The default options are in conf/default/
, refer to those for what values can be set.
These optional arguments are available for all the run commands:
-n
or--runs
to specify how many times to run the simulation.-c
or--cpus
to specify number of CPUs to use when running multiple times. Use-1
for all cores (default).
python main.py run
Example:
python main.py -c 2 -n 10 run
Runs simulation over a range of values for a specific parameter. For continuous parameters, the syntax is
NAME:MIN:MAX:NUMBER_STEPS
. For boolean parameters, just provide the parameter name.
Example:
python main.py sensitivity ALPHA:0:1:7
Will run the simulation once for each value ALPHA=0
, ALPHA=0.17
, ALPHA=0.33
, ... ALPHA=1
.
Example:
python main.py sensitivity WAGE_IGNORE_UNEMPLOYMENT
Will run the simulation once for each value WAGE_IGNORE_UNEMPLOYMENT=True
& WAGE_IGNORE_UNEMPLOYMENT=False
.
You can also set up multiple sensitivity runs at once.
For example:
python main.py sensitivity ALPHA:0:1:0.1 WAGE_IGNORE_UNEMPLOYMENT
is equivalent to running the previous two examples in sequence.
Runs simulation over a different distribution combinations: ALTERNATIVE0: True/False, FPM_DISTRIBUTION: True/False
.
Example:
python main.py -n 2 -c 2 distributions
Runs simulation over a different ACPs.
Example:
python main.py -n 2 -c 2 acps
You can regenerate plots for a set of runs by using:
python main.py make_plots /path/to/output
In Windows, make sure to use double quotes " " and backward slashes as in:
python main.py make_plots
"..\run__2017-11-01T11_59_59.240250_bh"
There is a preliminary web interface in development.
To run the server:
python main.py web
Then open localhost:5000
in your browser.
arxiv.org/1702.03226v2.pdf AAMAS/ABMUS text arxiv.org/1609.03996v1 SEAL operational manual
- Firms no longer have FIXED salaries scheme. Really depends on sale. Major general improvements
- Five TAXES introduced: consumption, labor, firm, real estate transaction, property
- Also FOUR schemes of TAXES distribution among municipalities: multiple regional testing and modeling of taxes distribution (multi_ACP_alternate)
- Endogenous prices setting in a sticker manner
- Decision-making of the firm profits hire, otherwise fire
TRANSPORT SYSTEMS or initial approach (such as BUS or CAR choices, related to income and time/productivity)
- Credit market
- Exogenous regional MIGRATION
- Housing rent market
- Sectors and products variety
- Based on Lengnick, 2013. Agent-based macroeconomics: A baseline model.
- Journal of Economic Behavior & Organization
- Households are FIXED, but families can move into other households
- We have either four or one government institution that collects taxes and improves quality of life index
- Wage is paid to the agent, not on the household. However, consumption is based on families' average money
- There is no fixed structure for the working-consumption network. Distance is used instead.
- Different wage mechanism
- Public Policy analysis