Clarodina,
L is the lag operator: Ly(t) = y(t-1). So (1-L)y = y(t) – Ly(t) = y(t) – y(t-1). The
left-hand side of the adf regression is then just the first difference of y(t).
HTH,
PS
From: gretl-users-bounces(a)lists.wfu.edu [mailto:gretl-users-bounces@lists.wfu.edu] On
Behalf Of clarodina(a)lycos.com
Sent: Wednesday, December 14, 2011 1:17 PM
To: gretl-users(a)lists.wfu.edu
Subject: [Gretl-users] Change of y
The model for adf is (1-L)y = b0 + (a-1)*y(-1) + e
But isn't adf is using reg of change of y to lag of y?
The (1-L)y is not refering to change of y
Clicking the use first difference generate the same (1-L)y rather using change of y
What does L represent?
Clarodina