In the interpretation of survivorship statistics
The case of non-stationary mortality
Bibliographic Data
| ID | 4268294 |
|---|---|
| Authors | Jeremiah M Sullivan (University of North Carolina at Chapel Hill), Godwin A Udofia (University of Calabar) |
| Year | 1979 |
| Volume | 33 |
| Issue | 2 |
| Pages | 365-374 |
| Publication date | 1979-07-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Population Studies (JOURNAL) |
| Journal identifiers | ISSN: 0032-4728 • E-ISSN: 1477-4747 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00324728.1979.10410451 |
| OpenAlex | W2095568794 |
| Language | EN |
| Citations received | 2 |
| References cited | 1 |
In countries without vital registration systems, a variety of indirect techniques are used to estimate mortality conditions. These techniques frequently make use of statistics reported by census respondents on the survivorship of children, parents, siblings or first spouse. A number of models exist for converting these statistics into mortality rates-the best-known being those developed by Brass, Sullivan and Trussell for the estimation of childhood mortality rates. The state of the art is such that those models require approximately constant mortality as a pre-condition for their application. This paper deals with the estimation of mortality rates from survivorship statistics under conditions of changing mortality. We show that, for populations in which mortality has changed linearly, mortality estimates based on the Brass, Sullivan and Trussell models apply to a point in time preceding the census. This point can be estimated as a simple function of the same fertility indices which are required for the estimation of mortality rates. As a result, the study of mortality can be extended in several directions without the need for additional information. Previous work in the area of mortality analysis, which employs Brass-type estimation, can be interpreted more precisely. Mortality trends can be estimated and the reliability of survivorship statistics reported by respondents in different age intervals evaluated. The latter use has implications for the common practice of averaging mortality estimates derived by respondents in adjacent five-year age intervals
Census · Economics · Estimation · Mortality rate · Point estimation · Population · Sociology · Spouse · Statistics · Survivorship curve · Agricultural risk and resilience · Demography · Global Health Care Issues · Insurance, Mortality, Demography, Risk Management · Mathematics
| Citations per year | 0.04 |
|---|---|
| Citation span | 1981 - 1983 (3) |
| Highly cited | No |