Publication:
Counterfactual Analysis Using Censored Duration Data

Thumbnail Image
Identifiers
URI: https://hdl.handle.net/10016/27821
ISSN: 2340-5031
UXXI: DT/0000001653
Files
we1812.pdf (447.99 KB)
Publication date
2018-12
Defense date
Authors
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
Impact
Google Scholar
Export
Research Projects
Organizational Units
Journal Issue
Abstract
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.
Description
Keywords
Right Censoring, Standardization, Proportional hazard, Kaplan-Meier, RMST, Spells of unemployment, Gender gaps
Bibliographic citation
Collections
DE - Working Papers. Economics. WE