Estimation of confidence intervals for decompositions and other complex demographic estimators.

ABSTRACT:

Background

While the use of standard errors and confidence intervals is common in regression-based studies in the population sciences, it is far less common in studies using formal demographic measures and methods, including demographic decompositions.

Objective

This article describes and provides explicit instructions for using four different approaches for computing standard errors for complex demographic estimators.

Methods

Standard errors for Arriaga's decomposition of life expectancy differences are computed using the delta method, the Poisson bootstrap, the binomial bootstrap, and the Monte Carlo approaches. The methods are demonstrated using a 50% sample of vital statistics data on age-specific mortality among urban women in the Pacific region of the United Sta

SUBMITTER: Hendi AS 

PROVIDER: S-EPMC10795479 | biostudies-literature | 2023 Jul-Dec

REPOSITORIES: biostudies-literature