An application of dynamic survival models in unemployment studies
نویسندگان
چکیده
New dynamic Bayesian models for survival data analysis are applied in a study of contributory factors to unemployment. The models treat survival data as time series data, reflecting the need to model time varying relationships with explanatory variables that cannot be accommodated within standard proportional hazard models. In the present study, prior expectations that the effects of various socio-economic variables on unemployment spells are time dependent are verified. Assessment of these effects are given and uses of the model in predicting unemployment illustrated.
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