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RE: st: RE: Error? xtdpdsys assigns explanatory power to fixed effects

From   "Gustavo Sanchez" <>
To   <>
Subject   RE: st: RE: Error? xtdpdsys assigns explanatory power to fixed effects
Date   Thu, 10 Nov 2011 10:14:03 -0600

Lara <> has a follow-up question regarding her
estimation results using -xtabond- and -xtdpdsys-:

> I estimate the effects of a certain variable W on the dependent variable
> I know that the effect is different depending on the type of country. 
> Therefore I created dummies for mutually exclusive groups of countries (a
& b). 
> Now I interact the variable W with these dummies (W*a, W*b) to estimate
> effect of W with regard to the type of country. By estimating subsamples 
> (a==1 or b==1) I know that W has a positive effect for a-countries but a
> effect for b-countries. If I estimate the whole sample using XTDPDSYS and 
> including the interaction terms W*a and W*b I falsely obtain positive
> for both. (If I use XTABOND I find a positive and a negative coefficient
as expected.)

> Is this a regression that cannot be done using XTDPDSYS as it estimates
> power for the 'zeros' in (W*a) for the b-countries??

As I explained in my previous response, the two estimators (Arellano/Bond
and Blundell-Bond/Arellano-Bover) handle the time invariant dummies in a
different way. This is a theoretical issue that is reflected in the results
she is obtaining with the Stata commands she is using for her dynamic panel
data estimation. However, without looking at Lara's log containing the
actual command lines and the regression results, it is not straightforward
to determine whether the differences she is reporting are associated to the
way the two estimators handle the dummy variables included in her model, or
whether there is any other particular problem in her code. Lara can send her
log and her dataset to my private email, so that I can provide more specific
comments and hints on the results she is getting.


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