From | Dirk Nachbar <[email protected]> |
To | statalist <[email protected]> |
Subject | st: regression methodology |
Date | 21 Oct 2005 14:40:28 +0100 |
there are two ways to deal with heterogeneity in your data set
1. you include a dummy for a sub-group
2. you run several regressions for each sub-group
Now I was thinking when do we choose one or the other . It seems that if we do not want the same explanatory variables for each sub-group we should use approach 2, but then maybe our sample becomes too small. Approach 1 seems more neat and is quicker.
What do you think? Which approach is better and how should we determine when to use which approach?
Dirk Nachbar Assistant Economist Pensim2 Department for Work and Pensions Level 4, The Adelphi 1-11 John Adam St WC2N 6HT London 020 796 28531
The original of this email was scanned for viruses by the Government Secure Intranet (GSi) virus scanning service supplied exclusively by Energis in partnership with MessageLabs.
On leaving the GSi this email was certified virus-free
© Copyright 1996–2024 StataCorp LLC | Terms of use | Privacy | Contact us | What's new | Site index |