Session 31
Mortality Predictions

Note: Due to the pandemic the original sessions have been cancelled.
You can view the virtual sessions here.

 

Chair: Carlo G. Camarda, Institut National d'Études Démographiques (INED)

1. Lee-Carter Cohort Mortality ForecastsUgofilippo Basellini , Institut National d'Études Démographiques (INED); Carlo G. Camarda, Institut National d'Études Démographiques (INED).

2. Machine Learning to Predict Neonatal Mortality Using Public Health Data from São Paulo - BrazilCarlos Eduardo Beluzo , Federal Institute of São Paulo; Luciana C. Alves, University of Campinas (UNICAMP); Everton Silva, Federal Institute of São Paulo; Rodrigo Campos Bresan, Federal Institute of São Paulo; Natália M. Arruda, Federal Institute of São Paulo; Tiago Carvalho, Federal Institute of São Paulo.

3. Forecasting Mortality by Causes of Deaths Coherent to the All-Cause Mortality Forecasts Using the Lee-Carter ModelJulia Calazans , Centro de Desenvolvimento e Planejamento Regional (CEDEPLAR), Universidade Federal de Minas Gerais; Bernardo L. Queiroz, Centro de Desenvolvimento e Planejamento Regional (CEDEPLAR).

4. Validation and Mortality Forecasting: When to Choose Lee-Carter over More Complex Methods?Ricarda Duerst , Max Planck Institute for Demographic Research; Christina Bohk-Ewald, Max Planck Institute for Demographic Research.

5. Coherent Mortality Forecasting with Lee-Carter Type Models: Adjusting for Smoothing and Lifespan DisparityAhbab Mohammad Fazle Rabbi , Università di Padova; Stefano Mazzuco, Universita di Padova; Heather Booth, Australian National University; Vladimir Canudas-Romo, Australian National University.

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