文章基本信息

标题：Estimation of multi-state life table functions and their variability from complex survey data using the SPACE Program
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作者：Liming Cai ; Mark Hayward ; Yasuhiko Saito 等
期刊名称：Demographic Research
印刷版ISSN：1435-9871
电子版ISSN：1435-9871
出版年度：2010
卷号：22
页码：129-158
DOI：10.4054/DemRes.2010.22.6
出版社：Max Planck Institute for Demographic Research
摘要：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.
关键词：bootstrap;health expectancy;multistate life tables;population aging