Skip to main content

Public policy hedonic assessment — evaluate whether policy serves Main Street's hedonic needs

Project description

Main Street

Public policy hedonic assessment — evaluate whether policy serves Main Street's hedonic needs using real federal data.

Pulls data from BLS (CPI, ATUS, Employment), MIT Living Wage Calculator, and Census ACS. Assesses policy through the Hedonics framework: which ends does a policy serve, which costs does it modify, and who bears the distributional effects?

Part of the AltPath AI ecosystem.

The Four-Package Architecture

  • altpath — Personal hedonic assessment (how is YOUR life?)
  • hedonics — Shared taxonomy + fungibility calculus (the common language)
  • highnoon — Software purpose assessment (what does this CODE do for people?)
  • mainstreet — Policy hedonic assessment (does this POLICY serve Main Street?)

Status

Pre-alpha. Under active development.

License

MIT

Project details


Download files

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

Source Distribution

mainstreet-0.1.2.tar.gz (9.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mainstreet-0.1.2-py3-none-any.whl (11.8 kB view details)

Uploaded Python 3

File details

Details for the file mainstreet-0.1.2.tar.gz.

File metadata

  • Download URL: mainstreet-0.1.2.tar.gz
  • Upload date:
  • Size: 9.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.8

File hashes

Hashes for mainstreet-0.1.2.tar.gz
Algorithm Hash digest
SHA256 7592fb6cfac27331c262f95af31e22f6fead888f202ec1de91dd45e6861896fa
MD5 d2f0caaee13bdb846386d1340f9c888c
BLAKE2b-256 09747d7a9e8945c268a4643b7197d6c78ec96b231073b52b47fba7a03cf4ded3

See more details on using hashes here.

File details

Details for the file mainstreet-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: mainstreet-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 11.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.8

File hashes

Hashes for mainstreet-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 e047045976101db4c7f7a6e73e90b27da56ec692a7a84aeb280411d25015c001
MD5 e7f0eeae483a2604e877ef71a264f176
BLAKE2b-256 5bc378d45b421a1b06275ca4cf9818b879d3018d20fab5a7bbff3c089e6932ea

See more details on using hashes here.

Supported by

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