Skip to main content

behresp

Project description

[![PSL cataloged](https://img.shields.io/badge/PSL-cataloged-a0a0a0.svg)](https://www.PSLmodels.org) [![Python 3.6+](https://img.shields.io/badge/python-3.6%2B-blue.svg)](https://www.python.org/downloads/release/python-360/) [![Build Status](https://travis-ci.org/PSLmodels/Behavioral-Responses.svg?branch=master)](https://travis-ci.org/PSLmodels/Behavioral-Responses) [![Codecov](https://codecov.io/gh/PSLmodels/Behavioral-Responses/branch/master/graph/badge.svg)](https://codecov.io/gh/PSLmodels/Behavioral-Responses)

Behavioral-Responses

This document tells you how to begin using or contributing to Behavioral-Responses. Begin by reading the [Tax-Calculator documentation](https://PSLmodels.github.io/Tax-Calculator/) and then the [Behavioral-Responses user guide](https://PSLmodels.github.io/Behavioral-Responses/) that describes how to write Python programs that use Behavioral-Responses together with Tax-Calculator on your own computer.

What is Behavioral-Responses?

Behavioral-Responses, which is part of the Policy Simulation Library (PSL) collection of USA tax models, estimates partial-equilibrium behavioral responses to changes in the US federal individual income and payroll tax system as simulated by Tax-Calculator. It provides two ways of doing this: (1) the response function, which contains higher-level logic that supports the Tax-Brain “Partial Equilibrium Simulation” capability and requires specification of only the elasticities, and (2) the quantity_response function, which contains lower-level logic that requires specification of the quantity whose response is to be estimated, requires specification of the marginal tax rates and elasticities to be used in the response calculation, and allows the response estimation to be conducted by subgroup with different elasticities for each subgroup.

Disclaimer

Results will change as the underlying models improve. A fundamental reason for adopting open source methods in this project is so that people from all backgrounds can contribute to the models that our society uses to assess economic policy; when community-contributed improvements are incorporated, the model will produce different results.

Getting Started

If you want to report a bug, create a new issue [here](https://github.com/PSLmodels/Behavioral-Responses/issues) providing details on what you think is wrong with Behavioral-Responses.

If you want to request an enhancement, create a new issue [here](https://github.com/PSLmodels/Behavioral-Responses/issues) providing details on what you think should be added to Behavioral-Responses.

If you want to propose code changes, follow the directions in the [Tax-Calculator contributor guide](https://github.com/PSLmodels/Tax-Calculator/blob/master/CONTRIBUTING.md#tax-calculator-contributor-guide) on how to fork and clone the Behavioral-Responses git repository. Before developing any code changes be sure to read completely the Tax-Calculator contributor guide and then read about the [Tax-Calculator pull-request workflow](https://github.com/PSLmodels/Tax-Calculator/blob/master/WORKFLOW.md#tax-calculator-pull-request-workflow). When reading both documents, be sure to mentally substitute Behavioral-Response for Tax-Calculator and behresp for taxcalc.

The Behavioral-Responses [release history](https://github.com/PSLmodels/Behavioral-Responses/blob/master/RELEASES.md#tax-calculator-release-history) provides a high-level summary of past pull requests and access to a complete list of merged, closed, and pending pull requests.

Citing Behavioral-Responses

Please cite the source of your analysis as “Behavioral-Responses release #.#.#, author’s calculations.” If you wish to link to Behavioral-Responses, https://PSLmodels.github.io/Behavioral-Responses/ is preferred. Additionally, we strongly recommend that you describe the elasticity parameters used, and provide a link to the materials required to replicate your analysis or, at least, note that those materials are available upon request.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

behresp-0.11.0-py3-none-any.whl (9.2 kB view details)

Uploaded Python 3

File details

Details for the file behresp-0.11.0-py3-none-any.whl.

File metadata

  • Download URL: behresp-0.11.0-py3-none-any.whl
  • Upload date:
  • Size: 9.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.8.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.6

File hashes

Hashes for behresp-0.11.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3fcdd2379e1baf750edf2444f2a854f38f31d0a3e568522373431adfbfb40871
MD5 22c385fd71f694454540fdb013f86b05
BLAKE2b-256 dab4794901a5d7a22536732f885edbf869929350391e2c78441c97b7138a8329

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page