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st: Partial autocorrelation (PAC) using Yule-Walker equations
From
fjc <[email protected]>
To
Statalist <[email protected]>
Subject
st: Partial autocorrelation (PAC) using Yule-Walker equations
Date
Fri, 6 Sep 2013 13:48:56 -0300
Dear Statalisters:
The Stata 12 manual says that when -corrgram- is used with the yw
option (Yule-Walker equations), the first sample partial
autocorrelation (PAC) is forced to equal the first sample
autocorrelation (AC), as must be true in the population.
I noticed, however, that this is not true when an if condition is used
for the time variable. Here's an example:
. corrgram caemp, lags(12) yw noplot
LAG AC PAC Q Prob>Q
-----------------------------------------
1 0.9585 0.9585 127.73 0.0000
. corrgram caemp if tin(1962q1,1993q4), lags(12) yw noplot
LAG AC PAC Q Prob>Q
-----------------------------------------
1 0.9492 0.9585 118.05 0.0000
Notice that AC changes but PAC doesn´t.
My if condition leaves 8 observations out (four at the beginning of
the sample, and four at the end). If I drop these observations I get
equality again:
. drop if t<tq(1962q1)
(4 observations deleted)
. drop if t>tq(1993q4)
(4 observations deleted)
. corrgram caemp, lags(12) yw noplot
LAG AC PAC Q Prob>Q
---------------------------------------------------------
1 0.9492 0.9492 118.05 0.0000
I'm not sure about the reason for this and whether something should be
done about it. Any clarification would be greatly appreciated.
Best,
Francisco.
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