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Toni2
Lapis Lazuli | Level 10

hi, i am quite new with SAS and i am struggling to understand the ADF process for selecting the correct number of lags

 

As a first step for the ADF test i tried to identify the correct number of lags that i have to include. I use monthly data, therefore i added ADF=12 lags and run the below code  : 

 

***ADF test***;
PROC ARIMA DATA= rethouse_reg1 ;
IDENTIFY VAR = DEPPC_forc  STATIONARITY=(ADF=12) ;
RUN;
QUIT;

 

then i looked at the ADF and Trend Correlation analysis  : 

 

i looked at the trend and correlation analysis graph (see below). My series doesn't have trend (based on the graph) and has mean different than zero (based on table below mean = 6.381432) therefore, i concluded that i have to use the single mean in ADF.

 

After this i looked at the ADF table (see at the bottom) in the single mean model and starting from the bottom (12 lags) I found that the 9 lags are statistical significant (0.0146<0.05). Based on this i concluded that i have to use 9 lags in the ADF test. 

 

Then i looked at the ACF graph and counted the number of columns which are outside the shed blue area and found 11lags and i understood that i had to include 11lags for the ADF (compare to 9lags that found earlier)

 

my questions are :

 

1) Is the steps that i followed correct for selecting the appropriate number of lags for the ADF? 

2) If yes, which one of the above results for the correct number of lags i can trust and include in my ADF test and why? 

 

 

Name of Variable = DEPPC_forc
Mean of Working Series 6.381432
Standard Deviation 2.35614
Number of Observations 277

 

Toni2_2-1627140844800.png

Augmented Dickey-Fuller Unit Root Tests
Type Lags Rho Pr < Rho Tau Pr < Tau F Pr > F
Zero Mean 0 0.4318 0.7889 0.37 0.792    
  1 0.3733 0.7738 0.3 0.7728    
  2 -0.0458 0.6719 -0.03 0.6726    
  3 -0.5249 0.5642 -0.3 0.5756    
  4 -0.6041 0.5474 -0.34 0.5629    
  5 -0.595 0.5493 -0.33 0.564    
  6 -0.6329 0.5414 -0.34 0.561    
  7 -0.8189 0.5049 -0.42 0.5322    
  8 -1.4697 0.3989 -0.65 0.4358    
  9 -1.5907 0.3821 -0.68 0.422    
  10 -0.8402 0.5009 -0.43 0.5252    
  11 -0.5906 0.5502 -0.33 0.5657    
  12 -0.145 0.6494 -0.12 0.641    
Single Mean 0 -2.7088 0.6911 -0.81 0.8142 0.57 0.9306
  1 -3.6673 0.5752 -1.01 0.7512 0.74 0.8816
  2 -8.616 0.1846 -1.81 0.3773 1.82 0.6057
  3 -12.848 0.0651 -2.2 0.2058 2.52 0.4246
  4 -15.2504 0.0354 -2.34 0.1595 2.84 0.3433
  5 -15.8331 0.0305 -2.33 0.1647 2.79 0.3552
  6 -19.2865 0.0127 -2.49 0.1191 3.21 0.2497
  7 -25.4427 0.0028 -2.72 0.0731 3.78 0.1015
  8 -45.8484 0.0015 -3.18 0.0228 5.1 0.0347
  9 -64.8018 0.0015 -3.34 0.0146 5.61 0.0205
  10 -35.3822 0.0015 -2.8 0.0601 4 0.0875
  11 -29.8813 0.0015 -2.61 0.0917 3.51 0.1724
  12 -9.0271 0.1669 -1.7 0.4324 1.5 0.6861
Trend 0 -1.8741 0.9729 -0.55 0.9808 0.95 0.9735
  1 -2.8408 0.9428 -0.76 0.9668 0.89 0.9788
  2 -8.555 0.5357 -1.72 0.7411 1.62 0.8528
  3 -13.339 0.2423 -2.14 0.5208 2.43 0.6899
  4 -16.6115 0.1298 -2.32 0.423 2.8 0.6158
  5 -17.441 0.1099 -2.29 0.4385 2.76 0.6237
  6 -23.2314 0.0324 -2.53 0.3138 3.29 0.5173
  7 -34.3311 0.0025 -2.82 0.1909 4.05 0.3633
  8 -82.3673 0.0006 -3.35 0.0604 5.71 0.0814
  9 -210.116 0.0001 -3.58 0.0332 6.51 0.0441
  10 -70.2109 0.0006 -2.99 0.136 4.58 0.2574
  11 -59.658 0.0006 -2.82 0.1932 4.05 0.3632
  12 -10.7044 0.3831 -1.6 0.7915 1.48 0.8809

 

 

 

 

 

 

 

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