Search Results

Author: Hsu, Yu-Chieh
Resulting in 2 citations.
1. Black, Dan A.
Hsu, Yu-Chieh
Sanders, Seth G.
Schofield, Lynne Steuerle
Taylor, Lowell J.
The Methuselah Effect: The Pernicious Impact of Unreported Deaths on Old Age Mortality Estimates
NBER Working Paper No. 23574, National Bureau of Economic Research, July 2017.
Also: http://www.nber.org/papers/w23574
Cohort(s): Older Men
Publisher: National Bureau of Economic Research (NBER)
Keyword(s): Data Quality/Consistency; Ethnic Differences; Hispanics; Mortality; National Health Interview Survey (NHIS); Racial Differences

We examine inferences about old age mortality that arise when researchers use survey data matched to death records. We show that even small rates of failure to match respondents can lead to substantial bias in the measurement of mortality rates at older ages. This type of measurement error is consequential for three strands in the demographic literature: (1) the deceleration in mortality rates at old ages, (2) the black-white mortality crossover, and (3) the relatively low rate of old age mortality among Hispanics--often called the "Hispanic paradox." Using the National Longitudinal Survey of Older Men (NLS-OM) matched to death records in both the U.S. Vital Statistics system and the Social Security Death Index, we demonstrate that even small rates of missing mortality matching plausibly lead to an appearance of mortality deceleration when none exists, and can generate a spurious black-white mortality crossover. We confirm these findings using data from the National Health Interview Survey (NHIS) matched to the U.S. Vital Statistics system, a dataset known as the "gold standard" (Cowper et al., 2002) for estimating age-specific mortality. Moreover, with these data we show that the Hispanic paradox is also plausibly explained by a similar undercount.
Bibliography Citation
Black, Dan A., Yu-Chieh Hsu, Seth G. Sanders, Lynne Steuerle Schofield and Lowell J. Taylor. "The Methuselah Effect: The Pernicious Impact of Unreported Deaths on Old Age Mortality Estimates." NBER Working Paper No. 23574, National Bureau of Economic Research, July 2017.
2. Hsu, Yu-Chieh
Taylor, Lowell J.
Error in the Measurement of Mortality: An Application to the Analysis of Racial Mortality Disparity
Presented: Washington, DC, Population Association of America Annual Meetings, March 31-April 2, 2011
Cohort(s): Older Men
Publisher: Population Association of America
Keyword(s): Methods/Methodology; Mortality; Racial Differences; Racial Studies; Underreporting

Permission to reprint the abstract has not been received from the publisher.

A large empirical literature studies the forces that shape racial disparity in mortality. Given that factors early in one's life can be important for subsequent mortality outcomes, such research often relies on panel data. An important example is the National Longitudinal Survey of Older Men (NLS-OM), which collected data for men aged 45--59 in 1966 and several subsequent years, and then also reported deaths as indicated by death certificate data collected in 1990. An important methodological issue arises in studies that use such data: deaths are likely to be under-reported, most likely in systematic ways. In the NLS-OM, for example, the matching procedure appears to have missed a substantial number of deaths. We work out a simple model that illustrates the effect of this measurement error, and then show that inappropriate handling of the measurement error in survival analysis causes serious problems for inference.
Bibliography Citation
Hsu, Yu-Chieh and Lowell J. Taylor. "Error in the Measurement of Mortality: An Application to the Analysis of Racial Mortality Disparity." Presented: Washington, DC, Population Association of America Annual Meetings, March 31-April 2, 2011.