Methoden vergleichen
Prüfen Sie die ausgewählten Methoden nebeneinander; abweichende Zeilen sind hervorgehoben.
| Lifespan Inequality× | Lee-Carter-Modell× | |
|---|---|---|
| Fachgebiet | Demographie | Demographie |
| Familie≠ | Process / pipeline | Regression model |
| Entstehungsjahr≠ | 2003 | 1992 |
| Urheber≠ | Lifespan-variation literature; life disparity formalized by Vaupel & Canudas-Romo | Ronald Lee & Lawrence Carter |
| Typ≠ | Measures of variability in the age-at-death distribution | Stochastic mortality forecasting model |
| Wegweisende Quelle≠ | Vaupel, J. W., & Canudas-Romo, V. (2003). Decomposing change in life expectancy: A bouquet of formulas in honor of Nathan Keyfitz's 90th birthday. Demography, 40(2), 201–216. DOI ↗ | Lee, R. D., & Carter, L. R. (1992). Modeling and forecasting U.S. mortality. Journal of the American Statistical Association, 87(419), 659–671. DOI ↗ |
| Aliasnamen≠ | Lifespan Variation, Life Disparity, Variation in Age at Death | LC Model, Lee-Carter Mortality Model, Singular Value Decomposition Mortality Model, Lee-Carter Ölümlülük Modeli |
| Verwandt≠ | 4 | 2 |
| Zusammenfassung≠ | Lifespan inequality measures how unequally length of life is distributed within a population — the spread of the life-table ages at death, not just their average. Two populations can share the same life expectancy yet differ sharply in how predictable death is: in one nearly everyone reaches old age, in the other deaths are scattered across all ages. A family of measures — life disparity (e†), the standard deviation of age at death, the life-table Gini coefficient, and Keyfitz entropy — quantifies this dispersion, complementing life expectancy with a measure of how fairly survival is shared. | 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. |
| ScholarGateDatensatz ↗ |
|
|