Comparar métodos

	Modelo de Lee-Carter	Modelo ARIMA (Autoregressive Integrated Moving Average)	Análisis de tablas de vida
Campo	Demografía	Econometría	Demografía
Familia	Regression model	Regression model	Survival analysis
Año de origen	1992	2015	1984
Autor original	Ronald Lee & Lawrence Carter	Box & Jenkins (Box-Jenkins methodology)	Demographic/actuarial tradition; Chiang
Tipo	Stochastic mortality forecasting model	Univariate time-series model	Age-structured mortality estimator
Fuente seminal	Lee, R. D., & Carter, L. R. (1992). Modeling and forecasting U.S. mortality. Journal of the American Statistical Association, 87(419), 659–671.	Box, G. E. P., Jenkins, G. M., Reinsel, G. C. & Ljung, G. M. (2015). Time Series Analysis: Forecasting and Control (5th ed.). Wiley. ISBN: 978-1118675021	Chiang, C. L. (1984). The Life Table and Its Applications. Robert E. Krieger Publishing. ISBN: 978-0-89874-565-2
Alias	LC Model, Lee-Carter Mortality Model, Singular Value Decomposition Mortality Model, Lee-Carter Ölümlülük Modeli	Box-Jenkins model, ARIMA(p,d,q), ARIMA Modeli	Mortality Table, Actuarial Table, Survival Table, Yaşam Tablosu
Relacionados	2	5	3
Resumen	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.	ARIMA is a univariate time-series forecasting model that combines autoregressive, integrated (differencing), and moving-average components to predict a single continuous series from its own past. It is the centrepiece of the Box-Jenkins methodology set out in Box, Jenkins, Reinsel & Ljung's Time Series Analysis (5th ed., 2015).	A life table is a systematic, age-structured summary of the mortality experience of a population. It traces a hypothetical cohort of births — conventionally 100,000 — through successive age intervals, recording how many survive, how many die, and how many person-years are lived at each interval. The method was formalized in its modern probabilistic form by Chiang (1984), synthesizing centuries of actuarial and demographic practice into a rigorous statistical framework applicable to human and biological populations alike.