Yu-Chieh Hsu
Datos Biográficos
| ID | 3880153 |
|---|---|
| NOMBRE | Yu-Chieh Hsu |
| NOMBRES | Yu-Chieh |
| APELLIDO | Hsu |
| FIRMA | HSU Y |
| AFILIACIONES | University of Chicago |
| VERIFICADO | No |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAS | 4 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2017 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2017 |
| ÍNDICE H | 1 |
The Methuselah Effect
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;…
Combining forward and backward mortality estimation
Demographers often form estimates by combining information from two data sources-a challenging problem when one or both data sources are incomplete. A classic example entails the construction of death probabilities, which requires death counts for the subpopulations under study and corresponding base population estimates. Approaches typically entail 'back projection', as in Wrigley and Schofield's seminal analysis of historical English data, or '…
The Methuselah Effect
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;…
The Methuselah Effect
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;…
Combining forward and backward mortality estimation
Demographers often form estimates by combining information from two data sources-a challenging problem when one or both data sources are incomplete. A classic example entails the construction of death probabilities, which requires death counts for the subpopulations under study and corresponding base population estimates. Approaches typically entail 'back projection', as in Wrigley and Schofield's seminal analysis of historical English data, or '…
Demography (2 obras) · Health disparities and outcomes (2 obras) · Insurance, Mortality, Demography, Risk Management (2 obras) · Sociology (2 obras) · Algorithm (1 obras) · Birth, Development, and Health (1 obras) · Census (1 obras) · Computer Science (1 obras) · Demography (1 obras) · Econometrics (1 obras)