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Right-censored Poisson regression model

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  • Rafal Raciborski

    (StataCorp)

Abstract

I present the rcpoisson command for right-censored count-data mod-els with a constant (Terza 1985, Economics Letters 18: 361–365) and variable censoring threshold (Caudill and Mixon 1995, Empirical Economics 20: 183–196). I show the effects of censoring on estimation results by comparing the censored Poisson model with the uncensored one. Copyright 2011 by StataCorp LP.

Suggested Citation

  • Rafal Raciborski, 2011. "Right-censored Poisson regression model," Stata Journal, StataCorp LP, vol. 11(1), pages 95-105, March.
    • Handle: RePEc:tsj:stataj:v:11:y:2011:i:1:p:95-105
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    References listed on IDEAS

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    1. Caudill, Steven B & Mixon, Franklin G, Jr, 1995. "Modeling Household Fertility Decisions: Estimation and Testing of Censored Regression Models for Count Data," Empirical Economics, Springer, vol. 20(2), pages 183-196.
    2. Terza, Joseph V., 1985. "A Tobit-type estimator for the censored Poisson regression model," Economics Letters, Elsevier, vol. 18(4), pages 361-365.
    3. Rainer Winkelmann, 2008. "Econometric Analysis of Count Data," Springer Books, Springer, edition 0, number 978-3-540-78389-3, January.
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    1. Georges Karna Kone & Martine Audibert & Richard Lalou & Hervé Lafarge & Jean-Yves Le Hesran, 2017. "Subsidized antimalarial drugs in Dakar (Senegal): Do the poor benefit?," CERDI Working papers halshs-01535112, HAL.
    2. Georges Karna Kone & Martine Audibert & Richard Lalou & Hervé Lafarge & Jean-Yves Le Hesran, 2017. "Subsidized antimalarial drugs in Dakar (Senegal): Do the poor benefit?," Working Papers halshs-01535112, HAL.
    3. Georges Karna KONE & Martine AUDIBERT & Richard LALOU & Hervé LAFARGE & Jean-Yves LE HESRAN, 2017. "Subsidized antimalarial drugs in Dakar (Senegal): Do the poor benefit?," Working Papers 201711, CERDI.
    4. Qiang Fu & Tian‐Yi Zhou & Xin Guo, 2021. "Modified Poisson regression analysis of grouped and right‐censored counts," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(4), pages 1347-1367, October.

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