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Multivariate Decomposition for Hazard Rate Models

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  • Powers, Daniel A.

    ()
    (University of Texas at Austin)

  • Yun, Myeong-Su

    ()
    (Tulane University)

Abstract

We develop a regression decomposition technique for hazard rate models, where the difference in observed rates is decomposed into components attributable to group differences in characteristics and group differences in effects. The baseline hazard is specified using a piecewise constant exponential model, which leads to convenient estimation based on a Poisson regression model fit to person-period, or split-episode data. This specification allows for a flexible representation of the baseline hazard and provides a straightforward way to introduce time-varying covariates and time-varying effects. We provide computational details underlying the method and apply the technique to the decomposition of the black-white difference in first premarital birth rates into components reflecting characteristics and effect contributions of several predictors, as well as the effect contribution attributable to race differences in the baseline hazard.

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Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 3971.

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Length: 49 pages
Date of creation: Jan 2009
Date of revision:
Publication status: published in: Sociological Methodology, 2009, 39(1), 233-263
Handle: RePEc:iza:izadps:dp3971

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Related research

Keywords: decomposition; piecewise constant exponential model; Poisson regression; hazard rates;

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Cited by:
  1. Bowblis, John R. & Yun, Myeong-Su, 2010. "Racial and Ethnic Disparities in the Use of Drug Therapy," IZA Discussion Papers 4853, Institute for the Study of Labor (IZA).

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