Volume 21 - Article 9 | Pages 235-254

Death distribution methods for estimating adult mortality: Sensitivity analysis with simulated data errors

By Kenneth Hill, Danzhen You, Yoonjoung Choi

Print this page  Send this article to a friend  Twitter

 

 
Date received:02 Oct 2008
Date published:25 Aug 2009
Word count:3724
Keywords:adult mortality, death distribution methods, estimation, sensitivity analysis, simulation
DOI:10.4054/DemRes.2009.21.9
 

Abstract

TThe General Growth Balance (GGB) and Synthetic Extinct Generations (SEG) methods have been widely used to evaluate the coverage of registered deaths in developing countries. However, relatively little is known about how the methods behave in the presence of different data errors. This paper applies the methods (both singly and in combination) using non-stable populations of known mortality to which various data distortions in a variety of combinations have been applied. Results show that the methods work very well when the only errors in the data are those for which the methods were developed. For other types of error, performance is more variable, but on average, adjusted mortality estimates using the methods are closer to the true values than the unadjusted. The methods do surprisingly well in the presence of typical patterns of age misreporting, though GGB is more sensitive to coverage errors that change with age; the Basic SEG method (e.g. not adjusting for any slope with age of completeness estimates) is very sensitive to changes in census coverage; but once slope is adjusted for changing census, coverage has little effect. Fitting to the age range 5+ to 65+ is clearly preferable to fitting to 15+ to 55+. Both GGB and SEG are very sensitive to net migration, which is an Achilles heel for all of the methodologies in this paper. In populations not greatly affected by migration, our results suggest that an optimal strategy would be to apply GGB to estimate census coverage change, adjust for it and then apply SEG; in populations affected by migration, applying both GGB and SEG, fitting both to the age range 30+ to 65+, and averaging the results appears best.

Author's Affiliation

Kenneth Hill - Harvard University, United States of America [Email]
Danzhen You - UNICEF, United States of America [Email]
Yoonjoung Choi - Johns Hopkins University, United States of America [Email]

Other articles by the same author/authors in Demographic Research

» Neonatal mortality in the developing world
Volume 14 - Article 18

» Unconventional approaches to mortality estimation
Volume 13 - Article 12

Most recent similar articles in Demographic Research

» Unconventional approaches to mortality estimation
Volume 13 - Article 12    | Keywords: adult mortality, estimation

» The problematic estimation of "imitation effects" in multilevel models
Volume 9 - Article 2    | Keywords: estimation, simulation

» Another 'futile quest'? A simulation study of Yang and Land's Hierarchical Age-Period-Cohort model
Volume 30 - Article 11    | Keywords: simulation

» Heterogeneity's ruses: How hidden variation affects population trajectories of age-dependent fecundity in Drosophila melanogaster
Volume 30 - Article 10    | Keywords: simulation

» Reforging the Wedding Ring: Exploring a Semi-Artificial Model of Population for the United Kingdom with Gaussian process emulators
Volume 29 - Article 27    | Keywords: sensitivity analysis