Counterfactual Analysis Using Censored Duration Data
Miguel A. Delgado and
Andrés Felipe García Suaza
Authors registered in the RePEc Author Service: Andres Garcia-Suaza ()
UC3M Working papers. Economics from Universidad Carlos III de Madrid. Departamento de Economía
We propose standardization techniques for the duration distribution in a population with respect to another taken as standard using right censored data, which forms a basis for counterfactual comparisons between distributional features of interest. Alternative standardizations are based on either a proportional hazard semiparametric specification or a nonparametric specification of the underlying conditional distribution. Applications to the restricted mean survival time and the hazard rate are discussed in detail. The proposal is applied to the counterfactual analysis of spells of unemployment duration gender gaps in Spain between 2004-2007. The behavior in small samples is investigated using Monte Carlo experiments.
Keywords: Right; Censoring; Standardization; Proportional; hazard; Kaplan-Meier; RMST; Spells; of; unemployment; Gender; gaps (search for similar items in EconPapers)
JEL-codes: C14 C24 C41 J64 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm and nep-lab
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Persistent link: https://EconPapers.repec.org/RePEc:cte:werepe:27821
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