Calculate the unadjusted gender pay gap in mean and median gross hourly earnings

baltor_gender_pay_gap

Calculate the unadjusted gender pay gap in mean and median gross hourly earnings from weighted unidentified employee records, overall and by declared breakdown groups, refusing mismatched pay and hours periods.

Files, names only

LICENSE 1.0 KB
SKILL.md 4.9 KB
contracts/input.schema.json 2.4 KB
contracts/output.schema.json 13.0 KB
examples/example.expected.json 2.2 KB
examples/example.input.json 1.0 KB
references/provenance.json 5.0 KB
scripts/tool.py 9.6 KB
verification/test_tool.py 11.1 KB

Full files in your harness.

What it takes and gives

Command: python3 -B scripts/tool.py < examples/example.input.json
Input fields: currency, earnings_period, hours_period, breakdowns, 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 5.1 (and indicator 8.5.1) on caller-supplied records, not an official pay gap statistic. The unadjusted gap does not control for occupation, hours, experience or any other characteristic, so it is not a measure of unequal pay for equal work or of discrimination.

Details

Kind: Skill
Licence: MIT
Declared effects: reads files, runs commands
Placed for: OpenCode
Source: docs/architecture/NORTH-STAR.md
Size: 9 files, 50.2 KB
Identity: baltor_gender_pay_gap
Version: e02eccaf16b02b82b8032819ce70da137072fbb797fa762296b6f1e51a72e3aa

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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