Giter Site home page Giter Site logo

fagan2888 / behavioral-responses Goto Github PK

View Code? Open in Web Editor NEW

This project forked from pslmodels/behavioral-responses

0.0 1.0 0.0 175 KB

PSL module that estimates partial-equilibrium behavioral responses to tax changes simulated by Tax-Calculator

License: Other

Makefile 6.93% Batchfile 12.77% Shell 2.73% Python 77.57%

behavioral-responses's Introduction

PSL cataloged Python 3.6+ Build Status Codecov

Behavioral-Responses

This document tells you how to begin using or contributing to Behavioral-Responses. Begin by reading the Tax-Calculator documentation and then the Behavioral-Responses user guide 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 providing details on what you think is wrong with Behavioral-Responses.

If you want to request an enhancement, create a new issue here 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 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. When reading both documents, be sure to mentally substitute Behavioral-Response for Tax-Calculator and behresp for taxcalc.

The Behavioral-Responses 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.

behavioral-responses's People

Contributors

jdebacker avatar martinholmer avatar matthjensen avatar maxghenis avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.