Calculate Foster-Greer-Thorbecke poverty measures

baltor_fgt_poverty_measures

Calculate the Foster-Greer-Thorbecke poverty headcount, poverty gap and squared poverty gap at a declared poverty line from weighted unit records, with exact period conversion and additive group decomposition.

Files, names only

LICENSE 1.0 KB
SKILL.md 4.6 KB
contracts/input.schema.json 3.5 KB
contracts/output.schema.json 11.4 KB
examples/example.expected.json 2.1 KB
examples/example.input.json 881 bytes
references/provenance.json 5.0 KB
scripts/tool.py 9.9 KB
verification/test_tool.py 10.5 KB

Full files in your harness.

What it takes and gives

Command: python3 -B scripts/tool.py < examples/example.input.json
Input fields: welfare_concept, weight_basis, welfare_unit, poverty_line, groups, rows
Test: python3 -B -m unittest discover -s verification -p 'test_*.py' -v
Files: SKILL.md, contracts/input.schema.json, contracts/output.schema.json, scripts/tool.py
Placed for: OpenCode

Limits and scope

Limits: This is a supporting calculation for SDG targets 1.1 and 1.2 on caller-supplied data, not an official poverty estimate. It does not compute poverty lines, purchasing power parities, price deflators, equivalence scales, survey design standard errors or imputations, and its result is only as representative as the supplied weights.

Details

Kind: Skill
Licence: MIT
Declared effects: reads files, runs commands
Placed for: OpenCode
Source: docs/architecture/NORTH-STAR.md
Size: 9 files, 48.9 KB
Identity: baltor_fgt_poverty_measures
Version: b61c3da84214504b26c13a83f25a9832104b3a992e7736a7270d5c3cac62b715

The version is the SHA-256 of the item your harness downloads; every file in it names its own checksum.

Where it is shown

Calculators for public statisticsDeterministic skills

Related components

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