activity
20172020
most citedForecasting age distribution of death counts: An application to annuity pricing

23 citations · 41 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2020★ 5 cited

Retiree mortality forecasting: A partial age-range or a full age-range model?

Han Lin Shang, Steven Haberman

An essential input of annuity pricing is the future retiree mortality. From observed age-specific mortality data, modeling and forecasting can be taken place in two routes. On the…

stat.ME2020★ 13 cited

Forecasting multiple functional time series in a group structure: an application to mortality

Han Lin Shang, Steven Haberman

When modeling sub-national mortality rates, we should consider three features: (1) how to incorporate any possible correlation among sub-populations to potentially improve forecast…

stat.AP2019★ 23 cited

Forecasting age distribution of death counts: An application to annuity pricing

Han Lin Shang, Steven Haberman

We consider a compositional data analysis approach to forecasting the age distribution of death counts. Using the age-specific period life-table death counts in Australia obtained…

stat.AP2018

Model confidence sets and forecast combination: An application to age-specific mortality

Han Lin Shang, Steven Haberman

Model averaging combines forecasts obtained from a range of models, and it often produces more accurate forecasts than a forecast from a single model. The crucial part of forecast…

stat.AP2017

Grouped multivariate and functional time series forecasting: An application to annuity pricing

Han Lin Shang, Steven Haberman

Age-specific mortality rates are often disaggregated by different attributes, such as sex, state, ethnic group and socioeconomic status. In making social policies and pricing annui…