On Apr 1, 2010, at 9:56 AM, [email protected] wrote:
Hi,
I need to generate the time series of the production, but as I'm new
to this
topic I am not able to do that. This is what the time series should
be:
PROD(t)=PROD(t,T)
PROD(t-1)=PROD(t-1,T)
PROD(t-2)=PROD(t-1)*PROD(t-2,T-1)/PROD(t-1,T-1)
PROD(t-3)=PROD(t-2)*PROD(t-3,T-2)/PROD(t-2,T-2)
It would make more sense to give a name to the LHS series that was
different than the (higher dimensional) data input.
...
...
...
from PROD(t-2)...it will get the same expression; where PROD(t,T) is
the value
of the production at t for the sample of firms presented at T and T-1;
Someone knows how to get it???
You have not provided a reproducible example from which to proceed
(and have not even used correct R syntax in what you request), but it
appears you will probable get success with matrix indexing that
generates diagonal or sub-diagonal series processed with the cumprod
function.
> PROD <- matrix(1:25, nrow=5)
[4,] 9 14 19 24
> PROD[row(PROD)==col(PROD)+1]
[1] 2 8 14 20
> cumprod(PROD[row(PROD)==col(PROD)+1])
[1] 2 16 224 4480
#cumulative product of first sub-diagonal.
--
David Winsemius.
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