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Parameter Shrinkage for Age-Period-Cohort Modeling of Opioid Mortality Rates

Gary Venter

Title:
Parameter Shrinkage for Age-Period-Cohort Modeling of Opioid Mortality Rates
Author(s):
Venter, Gary
Date:
Type:
Reports
Department(s):
School of Professional Studies
Persistent URL:
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Abstract:
Statistical methods that shrink parameters towards zero can produce lower predictive variance than does maximum likelihood. This paper discusses an approach to doing this for age-period-cohort models, and applies it to fitting opioid mortality rates with a generalization of the Lee-Carter model including cohorts. Bayesian parameter shrinkage has some practical advantages over classical versions.
Subject(s):
Actuarial science
Cohort analysis
Drug abuse--Mortality
Mortality--Forecasting--Methodology
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Suggested Citation:
Gary Venter, , Parameter Shrinkage for Age-Period-Cohort Modeling of Opioid Mortality Rates, Columbia University Academic Commons, .

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