Turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

- JMP User Community
- :
- Discussions
- :
- how do i run a model with Heteroscedasticity-consistent standard errors??

Topic Options

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

Highlighted

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Feb 25, 2015 5:37 PM
(6039 views)

how do i run a model with Heteroscedasticity-consistent standard errors??

1 ACCEPTED SOLUTION

Accepted Solutions

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Select **Analyze** > **Fit Model**. Select **Loglinear Variance** for the **Personality** in the upper right corner of dialog. You will now have two tabs for defining the terms in the model. The first tab is for mean effects, the second tab is for variance effects. Define terms for both models as you would for Standard Least Squares. The linear combination does not have to be the same for both the mean and variance models.

This platform fits two parallel models, one for the mean and the other for the variance. You can save the models as column formulas You can profile with the models.

Be sure to check the documentation (**Help** > **Books** > **Fitting Linear Models**) as there is an entire chapter devoted to this platform.

Learn it once, use it forever!

1 REPLY 1

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Select **Analyze** > **Fit Model**. Select **Loglinear Variance** for the **Personality** in the upper right corner of dialog. You will now have two tabs for defining the terms in the model. The first tab is for mean effects, the second tab is for variance effects. Define terms for both models as you would for Standard Least Squares. The linear combination does not have to be the same for both the mean and variance models.

This platform fits two parallel models, one for the mean and the other for the variance. You can save the models as column formulas You can profile with the models.

Be sure to check the documentation (**Help** > **Books** > **Fitting Linear Models**) as there is an entire chapter devoted to this platform.

Learn it once, use it forever!