Statistical Inference of a Bivariate Proportional Hazard Model with Grouped Data

Mark Y 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
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Related works:
Working Paper: Statistical Inference of a Bivariate Proportional Hazard Model with Grouped Data (1996)
Working Paper: Statistical Inference of a Bivariate Proportional Hazard Model with Grouped Data (1996)
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Persistent link: http://EconPapers.repec.org/RePEc:fth:clmsre:98-12

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