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Publications, working papers, and other research using data resources from IPUMS.

Full Citation

Title: Method for Calculating Healthy Life Expectancy by Including Dynamic Changes of Both Mortality and Health

Citation Type: Dissertation/Thesis

Publication Year: 2010

Abstract: This thesis incorporates the self-reported health status information from the National Health Interview Survey in the United States into a cohort life table to estimate and forecasthealthy life expectancy, which is the average of years lived in good health. First, the thesis defines the Health Status Index (HSI) representing the proportion of the population of people who are in bad health. Applying the HSI, the main contribution of this thesis is modeling the dynamic changes of both the mortality and health processes by using the Lee-Carter model and constructing their stochastic projections. Based on goodness-of-fit tests we find that the Lee-Carter model fits the data quite well. Healthy life expectancy (HLE) is estimated and projected using Sullivans method by including the stochastic projection of the HSI into cohort life tables. The results show increasing trends of both life expectancy (LE) and healthy life expectancy (HLE), whereas the latter increases faster than the former. Another novelty of this thesis is the inclusion of uncertainty intervals by means of simulation method for expected simulated LE and HLE.We found that HLE have larger uncertainty than LE. Moreover, maless LE and HLE are lower than females but increase faster with larger confidence intervals. The thesis also provides a comparison between models using level and logit HSI formats, and shows that healthy life expectancies derived from the models with logit HSI are slightly lower, and increase slower with narrower confidence intervals than from the level format models, and a logit transformation is superior to the level format by construction.

User Submitted?: No

Authors: Yang, Ying

Institution: Tilburg University

Department: Network for Studies on Pensions

Advisor:

Degree: Research Master's

Publisher Location: Tilburg, The Netherlands

Pages:

Data Collections: IPUMS Health Surveys - NHIS

Topics: Health

Countries:

IPUMS NHGIS NAPP IHIS ATUS Terrapop