Home  >>  Archives  >>  Volume 18 Number 4  >>  st0546

The Stata Journal
Volume 18 Number 4: pp. 924-936

Subscribe to the Stata Journal

gencrm: A new command for generalized continuation-ratio models

Shawn Bauldry
Purdue University
West Lafayette, IN
Jun Xu
Ball State University
Muncie, IN
Andrew S. Fullerton
Oklahoma State University
Stillwater, OK
Abstract.  A continuation-ratio model represents a variant of an ordered regression model that is suited to modeling processes that unfold in stages, particularly those in which a return to a previous stage is not possible (for example, educational attainment, job promotion, or disease progression). The parameters for covariates in continuation-ratio models may be constrained to be equal, vary by a set of common factors (that is, proportionality constraints), or freely vary across stages. Currently, there are three community-contributed commands that fit continuation-ratio models. Each of these commands fits some subset of continuation-ratio models involving parameter constraints, but none of them offer complete coverage of the range of possibilities. The new gencrm command expands the options for continuation-ratio models to include the possibility for some of or all the covariates to be constrained to be equal, to freely vary, or to vary by a set of common factors across stages. gencrm relies on Stata's maximum likelihood routines for estimation and avoids reshaping the data. gencrm includes options for three link functions (logit, probit, and cloglog) and supports Stata's multiple-imputation suites of commands.

View all articles by these authors: Shawn Bauldry, Jun Xu, Andrew S. Fullerton

View all articles with these keywords: gencrm, generalized continuation-ratio models, stage models, sequential logit models, stopping-ratio models

Download citation: BibTeX  RIS

Download citation and abstract: BibTeX  RIS