Tricks of the trade: Getting the most out of xtmixed
Stata’s xtmixed command can be used to fit mixed models, models that contain both fixed and random effects. The fixed effects are merely the coefficients from a standard linear regression. The random effects are not directly estimated but summarized by their variance components, which are estimated from the data. As such, xtmixed is typically used to incorporate complex and multilevel random-effects structures into standard linear regression. xtmixed’s syntax is complex but versatile, allowing it to be used widely, even for situations that do not fit the classical "mixed" framework. In this talk, I will give a tutorial on uses of xtmixed not commonly considered, including examples of heteroskedastic errors, group structures on random effects, and smoothing via penalized splines.
|Date of creation:||16 Nov 2008|
|Contact details of provider:|| Web page: http://stata.com/meeting/fnasug08/|
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:boc:fsug08:18. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum)
If references are entirely missing, you can add them using this form.