EconPapers    
Economics at your fingertips  
 

Statistical Inference of a Bivariate Proportional Hazard Model with Grouped Data

Mark An

Working Papers from Centre for Labour Market and Social Research, Danmark-

Abstract: This paper proposes a semiparametric proportional hazard model for bivariate duration data in the analysis of two-component systems. Examples include the two infection times of the left and the right kidneys of patients and the two retirement times of married couples. As a generalization of the bivariate exponential distribution a la Marshall and Olkin (1967), the proposed model, on the one hand, controls for the effect of observed covariates, and on the other, achieves great flexibility through nonparametrically specified base-line hazards.

Keywords: MODELS; ECONOMETRIC MODELS; TESTS Research. Science Park Aarhus Wieds Vej 10C, 8000 Aarhus C, Danmark. 21p. (search for similar items in EconPapers)
JEL-codes: C14 C24 C41 C51 (search for similar items in EconPapers)
Date: 1998
References: Add references at CitEc
Citations: View citations in EconPapers (4)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Working Paper: Statistical Inference of a Bivariate Proportional Hazard Model with Grouped Data (1996) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:fth:clmsre:98-12

Access Statistics for this paper

More papers in Working Papers from Centre for Labour Market and Social Research, Danmark- Danmark; Centre for Labour Market and Social Research. Science Park Aarhus Wieds Vej 10C, 8000 Aarhus C, Danmark. Contact information at EDIRC.
Bibliographic data for series maintained by Thomas Krichel ().

 
Page updated 2025-03-19
Handle: RePEc:fth:clmsre:98-12