OG-USA | Overlapping generations model for evaluating fiscal policy

by PSLmodels Python Version: 0.6.3 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | OG-USA Summary

OG-USA is a Python library typically used in Financial Services, Banks, Payments applications. OG-USA has no bugs, it has no vulnerabilities, it has build file available and it has low support. However OG-USA has a Non-SPDX License. You can install using 'pip install OG-USA' or download it from GitHub, PyPI.

Overlapping generations model for evaluating fiscal policy in the United States.

Support

Quality

Security

License

Reuse

Support

OG-USA has a low active ecosystem.

It has 45 star(s) with 78 fork(s). There are 22 watchers for this library.

It had no major release in the last 12 months.

There are 22 open issues and 268 have been closed. On average issues are closed in 62 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of OG-USA is 0.6.3

Quality

OG-USA has no bugs reported.

Security

OG-USA has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

OG-USA has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

OG-USA releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed OG-USA and discovered the below as its top functions. This is intended to give you an instant insight into OG-USA implemented functionality, and help decide if they suit your requirements.

Calculates pop objects for a given period
Calculate mortality rate based on age and age
Calculate the metabolites in a given population
Extract warm rates from NCHS
Calculate wealth distribution
Main function of MVKDE
Estimate the chi - distribution
Compute theine equalizer
Calculate the wealth moments of the wealth matrix
Runs the pre - calculated model
Generate the HTML for the compiles
Retrieve data from S3
Generate a dictionary of parameters
Calculate the e - interpolation factor for a given strength matrix
Calculate the income profiles for the given age
Fit the arctan function
Calculate the arctan
Compute the transfer matrix
Gets the request matrix for a given PSID
Calculate the minimum likelihood
Estimate beta estimate for a given baseline distribution
Advance the tax calculator for a given baseline
Compute the arc error
Generate plots
Compute the wealth moments of a population
Build a dictionary of parameters

Get all kandi verified functions for this library.

OG-USA Key Features

No Key Features are available at this moment for OG-USA.

OG-USA Examples and Code Snippets

No Code Snippets are available at this moment for OG-USA.

Community Discussions

No Community Discussions are available at this moment for OG-USA.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install OG-USA

You can install using 'pip install OG-USA' or download it from GitHub, PyPI.
You can use OG-USA like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

Note that, depending on your machine, a full model run (solving for the full time path equilibrium for the baseline and reform policies) can take from a few to several hours of compute time. If you run into errors running the example script, please open a new issue in the OG-USA repo with a description of the issue and any relevant tracebacks you receive. The CSV output file ./run_examples/ogusa_example_output.csv can be compared to the ./run_examples/expected_ogusa_example_output.csv file that is checked into the repository to confirm that you are generating the expected output. The easiest way to do this is to use the sh example-diffs command (or example-diffs on Windows) from the run_examples directory. If you run into errors running the example script, please open a new issue in the OG-USA repo with a description of the issue and any relevant tracebacks you receive.

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