ASSESSING THE SUITABILITY OF THE LEE-CARTER MODEL IN MODELLING MORTALITY DATA WITH VARYING bx PARAMETER

Authors

Keywords:

Lee-Carter model, ARIMA, Singular value Decomposition, Mortality Rate

Abstract

The Lee-Carter model, developed by Lee and Carter in 1992 is one of the most influential model among others that is used for mortality projection. Although the model's performance has so far been examined in a variety of situations, its effectiveness in modeling mortality data with varying speeds of change in mortality across ages and the ability to detect trends in mortality index more precisely over time has not been studied. The method traditionally used in the Lee-Carter model shows obvious drawbacks in describing the shape of future mortality. The effectiveness of the Lee-Carter model to model mortality data with varying speeds of change in mortality was investigated. The model was applied to mortality data with both constant and varying speeds of change for female sub population. Results show that the Lee-Carter model is not good for mortality data with varying speeds of change.

Dimensions

Alho, J.M. (1990). Stochastic methods in population forecasting. International Journal of Forecasting 6(4), 521–530.

Bell, W. and Monsell, B. (1991). Using principal components in time series modeling and forecasting of age-specific mortality rates. Alexandria Virginia American Statistical Association.

Box, G.E. and Jenkins, G.M. (1970). Time series analysis: Forecasting and control. San Francisco: Holden-Day.

Cairns, A.J., Blake, D. and Dowd, K. (2006). A two-factor model for stochastic mortality with parameter uncertainty: Theory and calibration. Journal of Risk and Insurance 73(4), 687–718.

Currie, I. D., Durban, M. and Eilers, P.H (2004). Smoothing and forecasting mortality rates. Statistical Modelling 4 (4), 279–298.

Horiuchi, S. and John, R.W. (1995) “The aging of mortality decline” Presented at the Annual Meeting of the Population Association of America, San Francisco, April 6-8, 1995.

Lee, R. and Carter, L. (1992). Modeling and forecasting the time series of U.S. mortality. Journal of the American Statistical Association 87: 65-71.

Lee, R. and Miller, T. (2001). Evaluating the performance of the Lee-Carter method for Forecasting mortality Demography, Vol. 38, No. 4 (Nov., 2001), pp. 537-549.

McNown, R. and Rogers, A. (1989). Forecasting mortality: A parameterized time series Approach. Demography 26(4), 645–660.

Renshaw, A.E., and Haberman, S. (2006). A cohort-based extension to the Lee-Carter model for Mortality reduction factors. Insurance: Mathematics and Economics 38(3): 556-570

Published

12-07-2023

How to Cite

ASSESSING THE SUITABILITY OF THE LEE-CARTER MODEL IN MODELLING MORTALITY DATA WITH VARYING bx PARAMETER. (2023). FUDMA JOURNAL OF SCIENCES, 7(3), 293-296. https://doi.org/10.33003/fjs-2023-0703-1874

Issue

Vol. 7 No. 3 (2023): FUDMA Journal of Sciences - Vol. 7 No. 3 (Special Issue)

Section

Research Articles
Copyright & Licensing

FUDMA Journal of Sciences

How to Cite

ASSESSING THE SUITABILITY OF THE LEE-CARTER MODEL IN MODELLING MORTALITY DATA WITH VARYING bx PARAMETER. (2023). FUDMA JOURNAL OF SCIENCES, 7(3), 293-296. https://doi.org/10.33003/fjs-2023-0703-1874

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