Search type Search syntax
Tags [tag]
Exact "words here"
Author user:1234
user:me (yours)
Score score:3 (3+)
score:0 (none)
Answers answers:3 (3+)
answers:0 (none)
isaccepted:yes
hasaccepted:no
inquestion:1234
Views views:250
Sections title:apples
body:"apples oranges"
URL url:"*.example.com"
Favorites infavorites:mine
infavorites:1234
Status closed:yes
duplicate:no
migrated:no
wiki:no
Types is:question
is:answer
Exclude -[tag]
-apples
For more details on advanced search visit our help page
Results tagged with Search options user 159946

A name given to the log-odds function, which maps probabilities to the real line.

0
votes
1answer
When I run a simple logit regression between a binary variable $y$ over another binary variable $x$, the average marginal effects obtained by the function logitmfx (from mfx package) are different …
asked May 24 by bixiou
1
vote
0answers
interact with other covariates, say Z: $$Y = \beta_X \cdot X + \beta_Z \cdot Z + \beta_{XZ} X \cdot Z + u$$ With OLS, $\beta_X$ is not significant(ly different from 0), but $\beta_{XZ}$ is. With logit … , it is the contrary. I guess I should use logit, but I am not sure how to interpret $\beta_{XZ}$, given what I read on the topic: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3447245/ and https …
asked May 1 by bixiou
1
vote
The reason lies in the types of the variables: mfx is insensitive to type, and treats a binary variable as a boolean, even if it is numeric; whereas margins treats differently factors or boolean from …
answered May 24 by bixiou