IDEAS home Printed from https://ideas.repec.org/p/boc/scon17/8.html
   My bibliography  Save this paper

crreg: A New Command for Generalized Continuation Ratio Models

Author

Listed:
  • Shawn Bauldry

    (Purdue University)

  • Jun Xu

    (Ball State University)

  • Andrew Fullerton

    (Oklahoma State University)

Abstract

A continuation ratio model represents a variant of an ordered regression model that is suited to modeling processes that unfold in stages, such as educational attainment. The parameters for covariates in continuation ratio models may be constrained to be equal, subject to a proportionality constraint across stages, or freely vary across stages. Currently there are three user-written Stata commands that fit continuation ratio models. Each of these commands fit some subset of continuation ratio models involving parameter constraints, but none of them offer complete coverage of the range of possibilities. In addition, all of the commands rely on reshaping the data into a stage-case format to facilitate estimation. The new crreg command expands the options for continuation ratio models to include the possibility for some or all of the covariates to be constrained to be equal, freely vary, or have a proportionality constraint across stages. The crreg command relies on Stata’s ML routines for estimation and avoids reshaping the data. The crreg command includes options for three different link functions (the logit, probit, and the cloglog) and supports Stata’s survey and multiple imputation suites of commands.

Suggested Citation

  • Shawn Bauldry & Jun Xu & Andrew Fullerton, 2017. "crreg: A New Command for Generalized Continuation Ratio Models," 2017 Stata Conference 8, Stata Users Group.
    • Handle: RePEc:boc:scon17:8
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/scon2017/Baltimore17_Bauldry.pdf
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:scon17:8. 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/stataea.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.