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Estimation of a Transformation Model with Truncation, Interval Observation and Time–Varying Covariates


  • Bo E. Honoré

    (Princeton University)

  • Luojia Hu

    (Federal Reserve Bank of Chicago)


Abrevaya (1999b) considered estimation of a transformation model in the presence of left–truncation. This paper observes that a cross–sectional version of the statistical model considered in Frederiksen, Honoré, and Hu (2007) is a generalization of the model considered by Abrevaya (1999b) and the generalized model can be estimated by a pairwise comparison version of one of the estimators in Frederiksen, Honoré, and Hu (2007). Specifically, our generalization will allow for discretized observations of the dependent variable and for piecewise constant time–varying explanatory variables.

Suggested Citation

  • Bo E. Honoré & Luojia Hu, 2007. "Estimation of a Transformation Model with Truncation, Interval Observation and Time–Varying Covariates," CAM Working Papers 2009-03, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics, revised Nov 2008.
  • Handle: RePEc:kud:kuieca:2009_03

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    Cited by:

    1. Wolter, James Lewis, 2016. "Kernel estimation of hazard functions when observations have dependent and common covariates," Journal of Econometrics, Elsevier, vol. 193(1), pages 1-16.
    2. Hausman, Jerry A. & Woutersen, Tiemen, 2014. "Estimating a semi-parametric duration model without specifying heterogeneity," Journal of Econometrics, Elsevier, vol. 178(P1), pages 114-131.
    3. James Wolter, 2015. "Kernel Estimation Of Hazard Functions When Observations Have Dependent and Common Covariates," Economics Series Working Papers 761, University of Oxford, Department of Economics.
    4. Shinya Sugawara, 2013. "An Interval Regression Analysis for Tenures of Japanese Elder Care Workers Using Matched Employer-Employee Data," CIRJE F-Series CIRJE-F-887, CIRJE, Faculty of Economics, University of Tokyo.

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