Assessment of Reliability of Mortality and Morbidity in the 1998–2002 CLHLS Waves

Danan Gu () and Matthew E. Dupre
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Danan Gu: Medical School of Duke University, Center for the Study of Aging and Human Development

Chapter Chapter 6 in Healthy Longevity in China, 2008, pp 99-116 from Springer

Abstract: Abstract This chapter assesses the reliability of mortality and self-reported morbidity in the first three waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Results indicate that the observed rates of all-cause mortality reported in the CLHLS are underestimated by 15–20 percent between 1998 and 2000 and by 5–20 percent for ages 80–90 when based on hazard-model estimates; however, no such differences are found between the 2000 and 2002 waves. Our analyses further show that mortality rates over age 90 in the CLHLS are more reliable than those obtained from the census. The quality of self-reported morbidity and its population prevalence is generally quite good compared to other national data sets. However, the analyses suggest that information collected from next-of-kin should be interpreted with caution. We find that cause-specific mortality rates estimated from reports by the next-of-kin are substantially biased and that the prevalence of the decedents’ morbidity reported by the next-of-kin is somewhat underestimated.

Keywords: Accuracy of mortality data; Age exaggeration; Age reporting; All-cause mortality; Bias; Cause of death; Cause-specific death rates; Census data; China National Disease Surveillance Point System; Complex sampling design; Data assessment; Ethnic minorities; Extrapolation; First year death; First-year mortality rate; Han Chinese; Hazard model; Healthy longevity; Health and Retirement Study; Kannsito model; Lost to follow-up; Lunar calendar; Morbidity; Mortality; National Long-Term Care Survey; Next-of-kin; Reliability; Relative bias; Sample selection; Sample attrition; Second National Health Service Survey; Second year death; Second-year mortality rate; Self-reported chronic conditions; Simulation; Underestimation; Underestimation of mortality (search for similar items in EconPapers)
Date: 2008
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DOI: 10.1007/978-1-4020-6752-5_6

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