OCRATIO: Stata modules to fit continuation-ratio models on ordinal response data

Rory Wolfe ()
Additional contact information
Rory Wolfe: Royal Children's Hospital, Parkville, Victoria

Statistical Software Components from Boston College Department of Economics

Abstract: ocratio fits models based on continuation-ratio probabilities to ordinal responses (using maximum-likelihood). Three models are available using the logit, probit and complementary-log-log (f(x)=log[-log(1-x)]) functions. These models are an alternative to the models based on cumulative probabilities fitted by ologit and oprobit. ocratio also enables the fitting of a "ocloglog" model by using the cumulative option. This is possible because the "ocloglog" model is equivalent to the continuation-ratio complementary-log-log.

Language: Stata
Date: 1998-02-16
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/o/ocratio.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/o/ocrpred.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/o/ocratio.hlp help file (text/plain)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s334801

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().