Hi everyone, I wanted to surprise you all with a clever trick, but at the moments I'm not quite sure I'm heading in the right direction, so I'm asking for your help. I'd like to implement some mechanism for "arma-like" filtering of a time series, that is, given a time series x_t, compute y_t that satisfies y_t = C(L)/A(L) x_t This can be useful in many time-series related contexts: computation of fancy moving averages, computation of Wold representations, simulation of arma processes, and the list may continue. I have an initial implementation of this, that you can test by applying the attached diff file to current CVS[*]: attached you'll also find an example script. As you can see from the attached sample script, at present the above is implemented via a function called "filter", which takes 3 arguments: the series x and 2 matrices, containing the coefficients of A(L) and C(L). These A and C matrices must have 2 columns, or be empty: the rows of A and C must contain the coefficients for the powers other than 0 (assumed 1), with the exponents on column one and the corresponding coefficient on column two. For example, the matrix corresponding to the polynomial C(L) = 1 - 0.75 L^2 should be given as { 2, -0.75 }; negative exponents (leads) are allowed. If you want the "constant" coefficient to be other than 1, insert a row with 0 as the first element and the desired "correction" as second element (see the moving average example in the attached script). As you can see, this is a bit cumbersome, so my first question is: how can the syntax be improved? Another problem is the choice of starting values: in practice, the computation is carried out by re-casting the above equation as A(L) y_t = C(L) x_t At present, the solution I found is quite involved (look at the source to see what really happens), but basically pre-sample values of x and y are treated as zero. This is, in some contexts, rather unsatisfactory. However, I see no easy way out. Ideally, one should be able to indicate what pre-sample values for x and y should be. I'm a bit wary of adding 2 extra parameter to a function, so we mat want to turn this functionality into a command, something like filter x A C ; y0 x0 and receive output via some dollar accessor. But OTOH it's nice from a programming viewpoint to use all the genr infrastructure. Another issue is computational: there may be some advantage in using Fourier transforms for this. However, I'm no expert here and if any of you can give me any hint of the pros and cons, I'd be most grateful. Your opinions? (Sorry for the long message) [*] For those not familiar with how to apply patches, just go to the base directory of your gretl source tree, do a cvs update and then type the command patch -p0 < ~/filter.diff assuming you put the diff file in your home dir. Then run make/make install as usual. Riccardo (Jack) Lucchetti Dipartimento di Economia Università Politecnica delle Marche r.lucchetti(a)univpm.it http://www.econ.univpm.it/lucchetti