Calculate Alkire-Foster multidimensional poverty headcount

baltor_alkire_foster_poverty

Calculate Alkire-Foster multidimensional poverty headcount, intensity and adjusted headcount ratio from weighted unit deprivation profiles, with exact rational indicator weights, a declared poverty cutoff, censored headcounts and indicator contributions.

Files, names only

LICENSE 1.0 KB
SKILL.md 5.4 KB
contracts/input.schema.json 3.9 KB
contracts/output.schema.json 11.6 KB
examples/example.expected.json 3.2 KB
examples/example.input.json 1.7 KB
references/provenance.json 5.4 KB
scripts/tool.py 12.2 KB
verification/test_tool.py 13.0 KB

Full files in your harness.

What it takes and gives

Command: python3 -B scripts/tool.py < examples/example.input.json
Input fields: weight_basis, indicators, poverty_cutoff, missing_policy, 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 target 1.2 (indicator 1.2.2) on caller-supplied data, not an official multidimensional poverty index. It does not choose indicators, deprivation cutoffs, weights or k, does not construct deprivation values from questionnaires and does not compute standard errors, robustness ranges or the vulnerability and severity bands some publications add.

Details

Kind: Skill
Licence: MIT
Declared effects: reads files, runs commands
Placed for: OpenCode
Source: docs/architecture/NORTH-STAR.md
Size: 9 files, 57.5 KB
Identity: baltor_alkire_foster_poverty
Version: a7e0cad0b191639a611606f91ef80bc37d51e6abaee35d54e6af77e088d43719

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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