gencrm: A new command for generalized continuation-ratio modelsJournal: Stata Journal

Shawn Bauldry (), Jun Xu () and Andrew S. Fullerton ()
Additional contact information
Shawn Bauldry: Purdue University
Jun Xu: Ball State University
Andrew S. Fullerton: Oklahoma State University

Stata Journal, 2018, vol. 18, issue 4, 924-936

Abstract: A continuation-ratio model represents a variant of an ordered regres- sion 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 mod- els 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 covari- ates 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.

Keywords: gencrm; generalized continuation-ratio models; stage models; sequential logit models; stopping-ratio models (search for similar items in EconPapers)
Date: 2018
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