Statistical Modelling 19 (3) (2019), 299–322
Estimating transition coefficients for reconstructing coherent series of mortality by cause of Death
Carlo G Camarda
1French Institute for Demographic Studies (INED),
Paris,
France.
e-mail: carlo-giovanni.camarda@ined.fr
Abstract:
Regular revisions of the classification of diseases and the consequent disruptions of mortality series are well-known issues in long-term cause-of-death analysis. Given basic assumptions and medical knowledge about possible exchanges across causes of death in the revision years, redistribution of counts of causes of death into a new classification can be viewed as a constrained optimization problem. Penalized likelihood within a quadratic programming framework allows estimation of exchanges that vary smoothly over age groups. The approach is illustrated using both German data on malignant neoplasms and French data on heart diseases.
Keywords:
classification of causes of death; Inequality constraints; mortality series; quadratic programming; smoothing.
Downloads:
Example data and code in
zipped archive.
back