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help?

Hi, here's the code I am using to calculate contributions for the principal component ---------------------- group g1 x y z g1.makepcomp(scale=normload, cor, eigval=v1, eigvec=m1, cproport) f1 f2 f3 scalar s=@csum(v1) scalar l1=v1(1,1)/s scalar l2=v1(1,2)/s scalar l3=v1(1,3)/s series F1_XYZ=f1 'crea...

I solved the problem this time around by right clicking one of the excel files, going to properties, advanced options and selecting excel as a type of file (although it was already checked).. that solved it.. not sure the problem wan't reappear next time I import data form an excel file.. but it has...

Hi,

I have the same problem..
Eviews was definitely not installed before excel (who would do that anyway)..
I had the same problem with the old company, both using Windows 10 and Eviews 10.
What are you people doing?

I'll admit upfront that I'm not following this thread carefully, and I'm not familiar with the application at hand, so I may be missing nuance in the way you want to construct the model. With those caveats, I'll note that if all you want is contemporaneous correlation between states, you can use th...

Why doesn't using growth_next_year lagged accomplish the same thing? (I may well be jet lagged and missing something) because growth is not observable but also estimated (bear in mind it is a potential growth) and as such must be declared in state and not sygnal equation.. once you declare it in st...

Which variables do you want to be contemporaneously correlated? growth and pot in line: @state pot = pot(-1) + growth+ [var=exp(c(1))] so this line is telling us that the potential output (pot) is linked to the previous period potential output and with current period (!contemporaneous correlation!)...

yes but then you will run into the same problem when you try to define growth_next_year by saying @state growth_next_year=growth(1) where eviews will not allow for lead variables in state equations or @state growth_next_year= c(2)*crec + (1-c(2))*growth + [var=exp(c(3))] ' where again you will run ...

yes but then you will run into the same problem when you try to define growth_next_year by saying @state growth_next_year=growth(1) where eviews will not allow for lead variables in state equations or @state growth_next_year= c(2)*crec + (1-c(2))*growth + [var=exp(c(3))] ' where again you will run i...

it gives back an error Invalid lags or leads for state variables in state equation "@STATE POT = POT(-1) + GROWTH+ [VAR=EXP(C(1))]" in "DO_ BLAGRAVE.ML(MAXIT=1000)". since contemporaneous correlation (i.e. non laged variables in the state equations are prohibited by definition - ...

I did try to do this and it does not work, probably because growth is not observable, but instead is estimated as a combination of observable average growth and an unobservable deviation from the average?
my observables are: gdp, u, cpi and potential

Hi all, I can't find this topic being mentioned and I am stuck with it.. Basically I want to introduce a contemporaneous correlation in state equation and can't find a way to circumnavigate the rule stating that all the dependent variables in state equations need to be lagged.. so my code which aims...