Page 36 - Working Paper (Metode dan Teknik Proyeksi Penerimaan Pajak: Panduan dan Aplikasi)

Lampiran 8 – Uji Lag pada Model VAR, Model DOD
Lag FPE AIC HQIC SBIC
0 2,10E+09 24,3194 24,3846 24,5649*
1 2,10E+09 24,3046 24,3827 24,5991
2 2,1e +09* 24,2906* 24,3817* 24,6342
3 2,20E+09 24,3221 24,4263 24,7148
4 2,20E+09 24,3202 24,4374 24,762
Sumber: Dikalkukasi Tim Penulis

Lampiran 9 – Uji Lag pada Model VAR, Model Non-DOD
Lag FPE AIC HQIC SBIC

0 1,10E+10 25,9428 26,0125 26,1848
1 1,40E+09 23,9064 23,99 24,1967
2 1,20E+09 23,6958 23,7933 24,0345
3 9,9e +08* 23,5349* 23,6464* 23,922*
4 1,00E+09 23,5521 23,6775 23,9876
Sumber: Dikalkukasi Tim Penulis

Basis Kriteria Pengujian
FPE = Final Prediction Error
AIC = Akaike Information Criterion
SC = Schwarz Information Criterion
HQIC = Hannan-Quinn Information Criterion

Lampiran 10 – VAR(2) - DOD

Tahun VAR(2) Cons RMSE
2019 1.361.589,997 8865,012 48453,9
2018 1.195.566,665 2484,883 45815,4
2017 1.216.758,075 5186,166 46148,6
2016 1.148.509,051 4882,258 47439,9
2015 1.087.089.,72 5946,2 49085,7

Lampiran 11– VAR(3)

Tahun VAR(3) Cons RMSE
2019 1398446.806 -42258.71 44678.6
2018 1230876.832 -50082.07 45236
2017 1193270.696 -37742.24 47284.2
2016 1173663.715 -7850.088 49276.5
2015 1138386.167 24893.78 50152.9

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