No. of parameter

[zobee]

can any1 tell me how to calculate no. of parameters in regression equation. question may sound bit childish but i have no idea how to calculate no. of parameters specially when one is using lagged terms in an equation, like y0= c+x0+x-1+x-2+y-1+y-2 +et. i need it for calculation of f-test value. thanks in advance.

[trubador]

I assume you are asking about the command:

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eq_name.@noef

[zobee]

thanks for your quick response. im referring to the Granger causality test where f-test value is obtained through following equation, to get probabilty value

F=((RSS_r-RSS_ur)/m)/(RSS_ur/(n-k))

Where RSS are residual sum of squares of two regressions, m is the number of lagged terms, n is the number of observations and k is the number of parameters in the unrestricted regression, im asking abt this k value.....hope it clairfies the question

[trubador]

If you are conducting a Granger causality test, then you should drop the contemporaneous term and include only the lagged terms of variables. As far as I know, the number of observations in the denominator of the formula should be written as (n-m-k). In that case, the k term you are seeking will be equal to 5 (constant plus the number of lags times the number of variables).

[zobee]

yeah...thanks. also one thing else related to this subject, the RSS used in this formula, should they be obtained through equation funtion or var funtion of eviews? because when i do it with var, there is this matrix like output....should i pick the RSS from var function, it be from column of dependent variable? thanks again :)

[trubador]

From single equation:

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eq_name.@ssr

From var equation:

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var_name.@ssr(1) var_name.@ssr(2) . . var_name.@ssr(k)

By the way, you can conduct Granger causality analysis directly via the following command:

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cause(l) ser1 ser2 .... serN

where l is the number of lags.

[zobee]

thanks for your help. as far i know, cause function only perform pairwise granger causality test, whereas i have 3 exogenous variables which are not covered by this function. by-the-way what does view->lag structure->granger causality/block exogeniuty test do? can this function be used for granger causality with exogenous variables? thanks

[trubador]

Yes, you can use that function if you need multivariate comparisons. However, if you want to include exogenous variables, then you should conduct the analysis manually via running your own regressions (i.e. OLS).

[zobee]

i think i'll have to do it manually, though with your help now i can do it easily. thanks for your patience and just last question, as you mention earlier for var_name.@ ssr funtion, which of these ssr(1), ssr(2).....ssr(k) values will be used in the f-test equation. i mean say for first regression, which of these values will be used in f-test for value of RSS_r? thanks again