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An investigation of age-period-cohort models for individual-level data

Abstract:

When dealing with temporal effects, there is a well-known identification problem that arises as a result of the linear relationship between age, period, and cohort. Kuang, Nielsen, and Nielsen (Kuang et al., 2008) approach this problem in the context of aggregate data by examining estimable functions of the parameters of the standard model of temporal effects. These functions are both uniquely identified from data and invariant to transformations of the parameters of the original model. This ...

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Division:
SSD
Department:
Economics
Role:
Author

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Role:
Supervisor
ORCID:
0000-0002-1567-4652
Type of award:
MPhil
Level of award:
Masters
Awarding institution:
University of Oxford
Language:
English
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Deposit date:
2020-06-05

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