Modelling non-linear age-period-cohort effects and covariates, with an application to English obesity 2001–2014
We develop an age-period-cohort model for repeated cross-section data with individual covariates, which identifies the non-linear effects of age, period and cohort. This is done for both continuous and binary dependent variables. The age, period and cohort effects in the model are represented by a p...
Main Authors: | Fannon, Z, Monden, C, Nielsen, B |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Wiley
2021
|
Similar Items
-
An investigation of age-period-cohort models for individual-level data
by: Fannon, Z
Published: (2016) -
Age-period-cohort models for individual-level data: An acceleration-based regression framework
by: Fannon, Z
Published: (2020) -
Output distributions and covariance functions of certain non-linear transformations
by: Cheng, M.C.
Published: (1971) -
Over-dispersed age-period-cohort models
by: Nielsen, B, et al.
Published: (2017) -
Identification of the age-period-cohort model and the extended chain ladder model / Forecasting with the age-period-cohort model and the extended chain-ladder model
by: Nielsen, B, et al.
Published: (2008)