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Related Experiment Videos

Modeling unemployment duration in a dependent competing risks framework: identification and estimation

K Carling1, T Jacobson

  • 1Department of Statistics, Uppsala University, Sweden.

Lifetime Data Analysis
|January 1, 1995
PubMed
Summary

This study introduces three Mixed Proportional Hazard models to estimate unemployment duration, accounting for attrition and dependent failure times. These models are shown to be special cases of a general frailty model, aiding in their identification.

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Area of Science:

  • Statistics
  • Survival Analysis
  • Econometrics

Background:

  • Attrition is a common issue in unemployment duration studies.
  • Dependent competing risks models present identification challenges.
  • Multivariate failure time distributions are complex to model.

Purpose of the Study:

  • To evaluate three Mixed Proportional Hazard models for unemployment duration estimation with attrition.
  • To demonstrate the relationship between these models and a general frailty model.
  • To address the identification problem in dependent competing risks models.

Main Methods:

  • Utilizing three distinct Mixed Proportional Hazard models.
  • Framing these models within a general frailty model context.
  • Applying identification strategies for dependent competing risks.

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Main Results:

  • The three considered models are identified as special cases of a general frailty model.
  • The identification of the general model facilitates the identification of the specific models.
  • An empirical example demonstrates the successful modeling of dependent failure times.

Conclusions:

  • The proposed frailty model framework provides a unified approach to understanding and identifying dependent competing risks models.
  • This methodology enhances the estimation of unemployment duration in the presence of attrition.
  • The findings offer practical implications for survival analysis in social and economic research.