Hi
Thanks for the reminder.
Actually I want to analyse whether present value of variable A is Granger
caused by lag values of B and test linear hypothesis "B1,B2,B3,B4,B5=0".
Therefore, to get robust standard error NeweyWest estimates are applied.
Saba
On Saturday, 19 December 2015, 23:26, A
On Sat, 19 Dec 2015, Saba Sehrish wrote:
Thank you. The issue is resolved by scaling the data in millions.
That solves the numerical problem but the second issue (inappropriateness
of the Newey-West estimator for an autoregressive model) persists.
Saba
On Saturday, 19 December 2015, 15:0
Thank you. The issue is resolved by scaling the data in millions.
Saba
On Saturday, 19 December 2015, 15:06, Achim Zeileis
wrote:
On Sat, 19 Dec 2015, Saba Sehrish via R-help wrote:
> Hi I am using NeweyWest standard errors to correct lm( ) output. For example:
> lm(A~A1+A2+A3+A4+A5+B1
On Sat, 19 Dec 2015, Saba Sehrish via R-help wrote:
Hi I am using NeweyWest standard errors to correct lm( ) output. For example:
lm(A~A1+A2+A3+A4+A5+B1+B2+B3+B4+B5)
vcovNW<-NeweyWest(lm(A~A1+A2+A3+A4+A5+B1+B2+B3+B4+B5))
I am using package(sandwich) for NeweyWest. Now when I run this command, i
Hi I am using NeweyWest standard errors to correct lm( ) output. For example:
lm(A~A1+A2+A3+A4+A5+B1+B2+B3+B4+B5)
vcovNW<-NeweyWest(lm(A~A1+A2+A3+A4+A5+B1+B2+B3+B4+B5))
I am using package(sandwich) for NeweyWest. Now when I run this command, it
gives following error:
Error in solve.default(diag(n
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