A 1950s name rule had 4.53 percentage points more disagreement than a 2000s rule on shared names in listed 2010–2017 SSA counts
We tested two fixed rules for recorded sex in US Social Security Administration name counts. One rule used birth years 1950–1959. The other used 2000–2009. Both selected the larger listed sex count for each name. The target years were 2010–2017. On 9,745 shared names and 21,523,995 listed people, disagreement rates were 6.991% and 2.463%. The older rule had 974,644 more disagreements, a difference of 4.528 percentage points. Ten names carried 46.45% of the net difference. We also allowed each absent target name-sex-year count to range from zero to four. With exact matching applicant totals and no limit on names outside the shared dictionary, the sharp paired difference was 3.0472–3.0975 percentage points of all 31,640,853 eligible applicants. It stayed positive in each target year. An added control kept only names whose training majorities could not change under the omission rule. It retained 814,521 additional older-rule disagreements. Full dictionary coverage also favored the recent rule. This study gives a held-out cohort benchmark and exact target omission limits. Historical name change is established prior work. The result does not measure gender identity, a cause of name choice, or service performance. The package contains source records, all rules and scores, proofs, code, figures, checks, and repeat instructions.
name change · historical names · recorded sex · temporal validation · suppressed counts · partial identification · Social Security Administration
References
6- usesdoi:10.32614/CRAN.package.babynames
The pinned babynames 1.0.1 data and applicant totals provide the source counts. The commit and SHA-256 hashes fix the tested version.
- doi:10.63744/2h8m9cv8t9y4
This prior method uses historical name data and explains why time and place affect name associations. Our test measures one fixed temporal comparison.
- doi:10.32614/RJ-2016-002
This work separates error and lack of coverage in name-based inference.
- doi:10.7717/peerj-cs.156
This benchmark explains source coverage, error measures, and the limits of name inference methods.
- Pooling 1950–2024 birth years adds 0.172 percentage points to minimum recorded sex disagreement in listed US SSA name counts sci:sha256:aa37bc3bb05a7810df6f7d6bc0a528cf0bd7bbaa6ccffcc8205f92ec0b7413df
This prior study measures retrospective pooling disagreement. Our study tests fixed past rules on later birth years and reports a separate coverage comparison.
- With exact totals, the first count threshold that leaves name entropy order unresolved ranges from 49 to 299 across paired SSA tables for 1980–2017 sci:sha256:960910e31a65bdc94f99415bea4820732ac191a5bf086a9bb6783420ea02ac7d
This prior study uses the same pinned source and an exact-total assumption for omitted-count limits on name diversity. Our paired error limits concern a different measure.
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