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
| Date received: | 07 Jan 2009 |
| Date published: | 26 Jan 2010 |
| Word count: | 7708 |
| Keywords: | bootstrap, health expectancy, multistate life tables, population aging |
| DOI: | 10.4054/DemRes.2010.22.6 |
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
Mark D. Hayward - University of Texas at Austin, United States of America
Yasuhiko Saito - Nihon University, Japan
James Lubitz - National Center for Health Statistics, United States of America
Aaron Hagedorn - University of Southern California, United States of America
Eileen Crimmins - University of Southern California, United States of America
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