Thank you for your response. I wondering what is the different between
robust standard error by Arellano and PECS? Do you have an explanation?
Thank you.
On Fri, Jun 8, 2018, 23:03 Summers, Peter <psummers(a)highpoint.edu> wrote:
Hi Silviana,
Your question about heteroskedasticity persisting even after you check the
"robust standard error" box is actually more about econometrics in general,
and not gretl-specific. Such questions are generally not what this list is
for.
That said... The robust std error procedure (in whatever context) doesn't
change the method of estimating the coefficients. Unlike WLS, for example,
the goal isn't to "fix" the heteroskedasticity. Rather, it's to
construct
standard errors that should give reliable inference even in the presence of
hetero.
I hope this helps,
Peter Summers
High Point University
High Point NC
Sent from my iPad
On Jun 8, 2018, at 11:44 AM, SILVIANA SANTOSO <m37414018(a)john.petra.ac.id>
wrote:
Hello,
I want to ask several question about panel data in gretl.
I currently working on my thesis that use panel data. I have already
tested my data to choose the right models (pooled/fixed/random). My model
is fixed effect models. Then I want to test its normality and
heteroscedasticity.
I have tried to click on test > heteroscedasticity > groupwise. My model
is suffered the heteroskedasticity problem. So I tried to rectify my model
from heteroskedasticity by ticking the robust standard error arellano. But
by model still suffer of heteroskedasticity problem. So what should I do?
And about normality my model is not distributed normaly but I don't know
how to rectify it in gretl
Hope you may give a solution to my problem. Thank you in advance
Sincerely,
Silviana Gunarsih Santoso
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