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.
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Paper provided by Centre for Labour Market and Social Research, Danmark- in its series Papers with number
98-12.
Length: Date of creation: 1998 Date of revision: Handle: RePEc:fth:clmsre:98-12
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Find related papers by JEL classification: C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
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