RT Generic
T1 Counterfactual Analysis Using Censored Duration Data
A1 Delgado, Miguel A.
A1 García Suaza, Andrés Felipe
A2 Universidad Carlos III de Madrid. Departamento de Economía, 
AB 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.
SN 2340-5031
YR 2018
FD 2018-12
LK https://hdl.handle.net/10016/27821
UL https://hdl.handle.net/10016/27821
LA eng
NO Research funded by Ministerio Economía y Competitividad (Spain), grant numbersECO2017-86675-P and MDM 2014-0431, Comunidad de Madrid (Spain), and MadEco-CMgrant number S2015/HUM-3444.
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RD 18 may. 2024