Download Full Text

Citable link to this page

. . . . . .

Title:	Death by Survey: Estimating Adult Mortality without Selection Bias from Sibling Survival Data
Author:	Gakidou, Emmanuela; King, Gary Note: Order does not necessarily reflect citation order of authors.
Citation:	Gakidou, Emmanuela, and Gary King. 2006. Death by survey: Estimating adult mortality without selection bias from sibling survival data. Demography 43(3): 569-585.
Full Text & Related Files:	King_DeathbySurvey.pdf (500.7Kb; PDF)
Abstract:	The widely used methods for estimating adult mortality rates from sample survey responses aboutthe survival of siblings, parents, spouses, and others depend crucially on an assumption that, as we demonstrate, does not hold in real data. We show that when this assumption is violated so that the mortality rate varies with sibship size, mortality estimates can be massively biased. By using insights from work on the statistical analysis of selection bias, survey weighting, and extrapolation problems, we propose a new and relatively simple method of recovering the mortality rate with both greatly reduced potential for bias and increased clarity about the source of necessary assumptions.
Published Version:	doi:10.1353/dem.2006.0024
Terms of Use:	This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page:	http://nrs.harvard.edu/urn-3:HUL.InstRepos:4214912

Show full Dublin Core record

This item appears in the following Collection(s)

• FAS Scholarly Articles [5133]
  Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University

Contact administrator regarding this item (to report mistakes or request changes)