IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s457079.html
 

CPOISSONE: Stata module to estimate censored Poisson regression (econometric parameterization)

Author

Listed:
  • Joseph Hilbe

Programming Language

Stata

Abstract

cpoissone fits a censored Poisson maximum-likelihood regression of depvar on indepvars, where depvar is a non-negative count variable. The censor option is required. If no observations are censored, a censor variable with all 1's must be specified. Interpret parameter estimates as one would poisson. Cuts are numerically defined at the left censor site, cleft(), or right censor site cright(). Interpretation is the standard censored Poisson model as parameterized in econometric literature. Values to the outside of the defined cut points are revalued to the value(s) of the cuts. The econometric parameterization is to be distinguished from the survival parameterization, cpoisson. Reference: Hilbe, Joseph M (2007), Negative Binomial Regression (Cambridge University Press)

Suggested Citation

  • Joseph Hilbe, 2009. "CPOISSONE: Stata module to estimate censored Poisson regression (econometric parameterization)," Statistical Software Components S457079, Boston College Department of Economics, revised 18 Oct 2009.
    • Handle: RePEc:boc:bocode:s457079
    Note: This module should be installed from within Stata by typing "ssc install cpoissone". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/c/cpoissone.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/c/cpoissone.sthlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/c/cpoisxll.ado
    File Function: program code
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boc:bocode:s457079. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/debocus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.