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Statistical Inference of a Bivariate Proportional Hazard Model with Grouped Data

  • Yuying An, M.

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.

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Date of creation: 1998
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Handle: RePEc:fth:clmsre:98-12
Contact details of provider: Postal: Danmark; Centre for Labour Market and Social Research. Science Park Aarhus Wieds Vej 10C, 8000 Aarhus C, Danmark
Phone: +45 8942 2350
Fax: +45 8942 2365
Web page: http://www.cls.dk/
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  1. Mark Yuying An, 1996. "Semiparametric Estimation of Willingness to Pay Distributions," Econometrics 9611001, EconWPA.
  2. An, Mark Yuying & Ayala, Roberto A., 1996. "Nonparametric Estimation of a Survivor Function with Across-Interval-Censored Data," Working Papers 96-02, Duke University, Department of Economics.
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