Commentary on “A methodology for identifying married couples in medicare data”
Bibliographic Data
| ID | 11620435 |
|---|---|
| Authors | Bert Kestenbaum (Social Security Administration, Office of the Chief Actuary, with the assistance of Christopher J. Chaplain, corresponding author) |
| Year | 2000 |
| Volume | 37 |
| Issue | 2 |
| Pages | 247-249 |
| Publication date | 2000-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Demography (JOURNAL) |
| Journal identifiers | ISSN: 0070-3370 • E-ISSN: 1533-7790 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.2307/2648126 |
| PMID | 10836182 |
| OpenAlex | W2057100948 |
| Language | EN |
| Citations received | 1 |
| References cited | 1 |
Authors of an article appearing recently in Demography propose a retrospective method to identify husband-wife pairs in administrative records. Although their premise is correct, they over-state the power of their methodology. The error stems from a misunderstanding of how persons entitled to both primary and secondary social security benefits are classified in program data. A retrospective look four years after the reference data shows that the number of pairs is increased by less than 10%, not by more than 50%, as the authors claim
Actuarial science · Economics · Genealogy · Political science · Premise · Retrospective cohort study · Social security · Sociology · Wife · Demography · Global Health Care Issues · Health disparities and outcomes · History · Intergenerational Family Dynamics and Caregiving · Law · Medicine · Psychology
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,06 |
| Citation span | 2008 - 2008 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |