Full Citation

Title: Multivariate Survivorship Analysis Using Two Cross-Sectional Samples

Citation Type: Journal Article

Publication Year: 1999

ISBN:

ISSN:

DOI:

NSFID:

PMCID:

PMID:

Abstract: As an alternative to survival analysis with longitudinal data, I introduce a method that can be applied when one observes the same cohort in two cross-sectional samples collected at different points in time. The method allows for the estimation of log-probability survivorship models that estimate the influence of multiple time-invariant factors on survival over a time interval separating two samples. This approach can be used whenever the survival process can be adequately conceptualized as an irreversible single-decrement process (e.g., mortality, the transition to first marriage among a cohort of never-married individuals). Using data from the Integrated Public Use Microdata Series...I illustrate the multivariate method through an investigation of the effects of race, parity, and educational attainment on the survival of older women in the United States.

Url: http://link.springer.com/10.2307/2648086

User Submitted?: No

Authors: Hill, Mark E.

Periodical (Full): Demography

Issue: 4

Volume: 36

Pages: 497-503

Data Collections: IPUMS USA

Topics: Aging and Retirement, Education, Race and Ethnicity

Countries: