Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Multistate Life Table× | Modelul Lee-Carter× | |
|---|---|---|
| Domeniu | Demografie | Demografie |
| Familie≠ | Survival analysis | Regression model |
| Anul apariției≠ | 1975 | 1992 |
| Autorul original≠ | Andrei Rogers, Robert Schoen and collaborators | Ronald Lee & Lawrence Carter |
| Tip≠ | Nonparametric life table with multiple living states and transitions | Stochastic mortality forecasting model |
| Sursa seminală≠ | Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 9781557864512 | Lee, R. D., & Carter, L. R. (1992). Modeling and forecasting U.S. mortality. Journal of the American Statistical Association, 87(419), 659–671. DOI ↗ |
| Denumiri alternative | Increment-Decrement Life Table, Multiple-State Life Table, Multistate Demography, Çok Durumlu Yaşam Tablosu | LC Model, Lee-Carter Mortality Model, Singular Value Decomposition Mortality Model, Lee-Carter Ölümlülük Modeli |
| Înrudite≠ | 4 | 2 |
| Rezumat≠ | The multistate life table, also called the increment-decrement life table, generalizes the ordinary life table to populations that move among several living states — such as healthy and disabled, married and unmarried, or employed and unemployed — as well as the absorbing state of death. Using age-specific transition rates organized in matrices, it tracks the flows of a synthetic cohort among states and yields state-specific expectancies, such as the years a person can expect to spend healthy versus disabled. | The Lee-Carter model is a stochastic framework for modeling and forecasting age-specific mortality rates, introduced by Ronald Lee and Lawrence Carter in their landmark 1992 paper. It decomposes the logarithm of age-specific death rates into an age pattern of mortality, a time-varying index of mortality level, and an age-specific sensitivity of that index, then forecasts the time index using ARIMA time-series methods to generate probabilistic mortality projections. |
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