Search Results
| 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 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| 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 marginal-effect
Search options not deleted
user 56216
Marginal effects measure the change in the conditional mean of outcome $y$ when regressors change by one unit.
0
votes
Can Marginal effects and Incidence Rate Ratios be exactly the same?
The answer to this riddle is simple: $fit does not contain what I was looking for. It contains the parameters of the model that mfx() wraps.
To see this, the output of mod1 is
Call:
negbinmfx(formula …
- 419
0
votes
1
answer
180
views
Can Marginal effects and Incidence Rate Ratios be exactly the same?
Consider a boring count data model of citations of an article in relation to its page number and the price of the journal. I prefer an ordinary negative binomial regression.
Can it be that the margina …
- 419
4
votes
1
answer
2k
views
Is it meaningful to calculate predicted marginal effects of a count data model with an inter...
In a little regression model of mine, I estimate the following formula a a negative binomial regression type (it would hold for a Poisson regression as well):
$$
y = \beta * var1 + \gamma * var1 * bi …
- 419