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Statistical Inference of a Bivariate Proportional Hazard Model with Grouped Data

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  • Yuying An, M.

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.

Suggested Citation

  • Yuying An, M., 1998. "Statistical Inference of a Bivariate Proportional Hazard Model with Grouped Data," Papers 98-12, Centre for Labour Market and Social Research, Danmark-.
    • Handle: RePEc:fth:clmsre:98-12
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    References listed on IDEAS

    as
    1. Mark Yuying An & Roberto Ayala, 1996. "Nonparametric Estimation of a Survivor Function with Across- Interval-Censored Data," Econometrics 9611003, University Library of Munich, Germany.
    2. Mark Yuying An, 1996. "Semiparametric Estimation of Willingness to Pay Distributions," Econometrics 9611001, University Library of Munich, Germany.
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    Cited by:

    1. Ortega, Jaime, 2000. "Job Rotation as a Mechanism for Learning," CLS Working Papers 00-4, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.
    2. Westergaard-Nielsen, Niels, 2001. "Danish Labour Market Policy: Is it worth it?," CLS Working Papers 01-10, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.
    3. Mark Yuying An, 2004. "Likelihood-Based Estimation of a Proportional-Hazard, Competing- Risk Model with Grouped Duration Data," Urban/Regional 0407013, University Library of Munich, Germany.
    4. Pedersen, Peder J. & Smith, Nina, 2001. "International Migration and Migration policy in Denmark," CLS Working Papers 01-5, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.
    5. Hu, Tao & Xiang, Liming, 2013. "Efficient estimation for semiparametric cure models with interval-censored data," Journal of Multivariate Analysis, Elsevier, vol. 121(C), pages 139-151.
    6. Li, Shuwei & Hu, Tao & Wang, Peijie & Sun, Jianguo, 2017. "Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments," Computational Statistics & Data Analysis, Elsevier, vol. 110(C), pages 75-86.

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    More about this item

    Keywords

    MODELS ; ECONOMETRIC MODELS ; TESTS Research. Science Park Aarhus Wieds Vej 10C; 8000 Aarhus C; Danmark. 21p.;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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