Volume 22 - Article 6 | Pages 129–158  

Estimation of multi-state life table functions and their variability from complex survey data using the SPACE Program

By Liming Cai, Mark D. Hayward, Yasuhiko Saito, James Lubitz, Aaron Hagedorn, Eileen Crimmins

Abstract

The multistate life table (MSLT) model is an important demographic method to document life cycle processes. In this study, we present the SPACE (Stochastic Population Analysis for Complex Events) program to estimate MSLT functions and their sampling variability. It has several advantages over other programs, including the use of microsimulation and the bootstrap method to estimate the sampling variability. Simulation enables researchers to analyze a broader array of statistics than the deterministic approach, and may be especially advantageous in investigating distributions of MSLT functions. The bootstrap method takes sample design into account to correct the potential bias in variance estimates.

Author's Affiliation

• Liming Cai - National Center for Health Statistics, United States of America EMAIL
• Mark D. Hayward - University of Texas at Austin, United States of America EMAIL
• Yasuhiko Saito - Nihon University, Japan EMAIL
• James Lubitz - National Center for Health Statistics, United States of America EMAIL
• Aaron Hagedorn - University of Southern California, United States of America EMAIL
• Eileen Crimmins - University of Southern California, United States of America EMAIL

Other articles by the same author/authors in Demographic Research

Change in the Prevalence of Diseases Among Older Americans: 1984-1994
Volume 3 - Article 9

The importance of education for understanding variability of dementia onset in the United States
Volume 50 - Article 26

The mystery of Japan's missing centenarians explained
Volume 26 - Article 11

Trends in healthy life expectancy in Japan: 1986 - 2004
Volume 20 - Article 19

Most recent similar articles in Demographic Research

Estimation of confidence intervals for decompositions and other complex demographic estimators
Volume 49 - Article 5    | Keywords: bootstrap, confidence interval, decomposition, demography, Monte-Carlo simulation, standard error

Age reporting for the oldest old in the Brazilian COVID-19 vaccination database: What can we learn from it?
Volume 48 - Article 28    | Keywords: age misreporting, Brazil, COVID-19, mortality crossover, oldest old, population aging, vaccinations

The bootstrap approach to the multistate life table method using Stata: Does accounting for complex survey designs matter?
Volume 47 - Article 23    | Keywords: complex survey, Health and Retirement Study (HRS), health expectancies, multistate life tables, race/ethnicity, Stata

Population aging caused by a rise in the sex ratio at birth
Volume 43 - Article 32    | Keywords: models, population aging, sex ratio at birth, stable population

The direct and indirect impact of international migration on the population ageing process: A formal analysis and its application to Poland
Volume 38 - Article 43    | Keywords: age-specific growth, emigration, immigration, international migration, Poland, population aging