A LC Model With Change-Points Regime
This paper extends the widely used Lee Carter (LC) model (Lee & Carter, 1992) for mortality projection. We suggest a Bayesian change-points model for the time parameters in the Bayesian extension of the LC model suggested in Czado et al. (2005). In particular, we modify the simple linear trend to a piecewise linear trend. This model accounts for changes in trend over time and it is inspired by the Bayesian random level{shift model of McCulloch & Tsay (1993). In a validation-based examination, the proposed change-points model produces smaller prediction errors compared to the autoregressive model for the time parameters in Czado et al. (2005). Notably, this is true for all populations considered
Year of publication: |
2019
|
---|---|
Authors: | Shapovalov, Vered |
Other Persons: | Landsman, Zinoviy (contributor) ; Makov, Udi (contributor) |
Publisher: |
[2019]: [S.l.] : SSRN |
Saved in:
freely available
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