Hi, How can I obtain the p-value of the ADF test, which uses AIC or BIC to determine the lag for residuals, in order to test the stationarity of the residuals of a linear regression model? I have tried proc arima but don’t know how to set the AIC/BIC option for lag length. The input data and my code: data df;
input month dep ind1 ind2 ind3;
cards;
1 -4.66344 0.5337595 1.533904 -0.1824561
2 -4.27203 0.5371667 1.638746 -0.2840759
3 -4.31303 0.5187737 1.708084 -0.208212
4 -3.46126 0.501581 1.773411 0.7434088
5 -3.10906 0.5024615 -0.7010086 0.4447428
6 -2.83321 0.50575 0.7289928 0.2619768
7 -2.74544 0.4943883 0.7419567 0.7679318
8 -3.30505 0.4825768 0.7544792 0.273685
9 -3.28185 0.468799 0.9924411 -0.1544852
10 -3.54578 0.4705212 1.133435 0.6179188
;
run;
proc reg
data=df;
model dep = ind1 ind2 ind3 ;
OUTPUT OUT=model_output_c predicted= pred residual=resid;
run;
proc arima data=model_output_c;
identify var=resid STATIONARITY=(ADF) ;
run;
Thank you!
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