Page 128 - Contributed Paper Session (CPS) - Volume 3
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CPS1965 Chin Tsung R. et al.
                  4.   Conclusion
                      A major advantage of estimating mortality rates using cubic spline is that
                  it  allows  for  age-specific  mortality  estimates  compared  to  the  original  LC
                  model. This allows for more specific age group mortality estimation that is we
                  can estimate mortality rates for ages which are not the midpoint of an age
                  group. Additionally, compared to the LC Model which is not smooth, the cubic
                  spline estimate is continuous up to the second derivative. Another advantage
                  of  the  cubic  spline  method  is  the  potentially  lower  number  of  model
                  parameters.  In  comparison,  the  number  of  parameters  using  the  spline
                  approach would be determined by the number of knots and restrictions used.
                  One of the disadvantages in fitting a cubic spline to the mortality dataset of
                  Malaysia is the lack of granularity of the age groups as it limits the choice of
                  knots. However, as the estimated mortality models the error is relatively small,
                  it is reasonable to say that the model provides adequate estimates.

                  References
                   1.  Hyndman, R.J. (2006). R package, demography: Forecasting Mortality,
                      Fertility, Migration and Population Data.
                   2.  Lee, R. D., & Carter, L. R. (1992). Modeling and forecasting US mortality.
                      Journal of the American Statistical Association, 87(419), 659-671.
                   3.  Zhao, B. B. (2012). A modified Lee–Carter model for analysing short-
                      base-period data. Population studies, 66(1), 39-52.



































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