Timeline for Alternatives to the multinomial logit model
Current License: CC BY-SA 3.0
15 events
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| Aug 16, 2017 at 8:53 | answer | added | SrikanthRaja | timeline score: 0 | |
| S Jul 19, 2017 at 9:05 | history | edited | Chill2Macht |
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| Jul 19, 2017 at 9:01 | review | Suggested edits | |||
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| Sep 3, 2016 at 14:50 | answer | added | Wayne | timeline score: 4 | |
| Sep 3, 2016 at 13:55 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jul 26, 2016 at 20:22 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jun 16, 2016 at 7:34 | answer | added | Arne Jonas Warnke | timeline score: 6 | |
| Jul 21, 2013 at 22:16 | comment | added | gung - Reinstate Monica | "To a first approximation... never... " means that 99% of the time you should not use OLS with a binary outcome. I am aware that there are some cases where it makes less of a difference & that some people disagree w/ the standard advice--that's why I didn't just say 'never' w/o the hedges. Unfortunately, I don't know of a good place to read up on using alternative link functions w/ multinomial regression. | |
| Jul 21, 2013 at 20:57 | comment | added | Thor | Not sure what you mean by first approximation (sorry, I am a novice). But there seems to be some prominent econometricians arguing that using an LPM model functions as well as the logit model whan estimating binary outcomes. At least Angrist and Pischke do so in their book 'Mostly harmless econometrics' (2009). Do you have any tip on where I can read up on such alternative link functions? Again, thank you for your feedback! | |
| Jul 21, 2013 at 20:13 | comment | added | gung - Reinstate Monica | To a first approximation, OLS should never be used for binary outcomes. I'm sure there are, or could be, multinomial regression algorithms that use alternative link functions, but I don't know if major software supports them. | |
| Jul 21, 2013 at 20:08 | comment | added | Thor | Thank you very much for the comment. I will definitely read up on the link. I mainly wonder if there is any alternatives that uses ordinary linear regression (OLS) to handle unordered categorical outcomes. Do you know of any such alternatives? When it comes to binary outcomes there seems to be a whole discussion on whether to use OLS or binary logit/probit models. | |
| Jul 21, 2013 at 16:14 | comment | added | gung - Reinstate Monica | Are you just asking if there are alternative link functions (other than the logit) available for the multinomial case? Or, are you asking about different types of models (such as cart models)? Or perhaps something else? (Side note, if the first, it might help you to read my answer here: difference-between-logit-and-probit-models, for general information about this issue, although it was written in a slightly different context.) | |
| Jul 21, 2013 at 16:09 | history | edited | gung - Reinstate Monica | CC BY-SA 3.0 |
changed tags; light editing
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| Jul 21, 2013 at 16:01 | review | First posts | |||
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| Jul 21, 2013 at 15:42 | history | asked | Thor | CC BY-SA 3.0 |