14. Hasil Estimasi Persamaan Harga Riil Impor Kertas Indonesia
The SAS System The SYSLIN Procedure
Two-Stage Least Squares Estimation Model HRGA_IMP
Dependent Variable HRMKI Label
Analysis of Variance Sum of Mean
Source DF Squares Square F Value Pr F Model 3 82647672 27549224 50.87 .0001
Error 18 9747804 541544.7 Corrected Total 21 92395476
Root MSE 735.89719 R-Square 0.89450 Dependent Mean 2453.93297 Adj R-Sq 0.87692
Coeff Var 29.98848
Parameter Estimates Parameter Standard Variable
Variable DF Estimate Error t Value Pr |t| Label Intercept 1 -291.506 863.5895 -0.34 0.7396 Intercept
LMKI 1 837.8657 2523.267 0.33 0.7437 TIK 1 62.25048 46.46860 1.34 0.1970
LHRMKI 1 0.667254 0.188998 3.53 0.0024
Durbin-Watson 1.483813 Number of Observations 22
First-Order Autocorrelation 0.0783
Lampiran 6. Program Komputer Validasi Parameter Model Permintaan dan Penawaran Pulp dan Kertas Indonesia
OPTIONS NODATE NONUMBER;
DATA VALIDASI;
SET WORK.ANGGI;
Membuat Data Riil HRPI
= HPIIHK
100
; URPT
= UPTIHK
100
; URKT
= UKTIHK
100
; HRKI
= HKIIHK
100
; HRIMPI
= HIMPIIHK
100
; HRXPI
= HXPIIHK
100
; HRMKI
= HMKIIHK
100
; HRXKI
= HXKIIHK
100
; HRIKBI
= HIKBIIHK
100
; HRKNI
= HKNIIHK
100
; HRPWR
= HPWRIHK
100
; HRKWR
= HKWRIHK
100
; NTR
= NTIHK
100
; Membuat variabel lag
LHRPI = LAGHRPI;
LHRLI = LAGHRLI;
LHRKI = LAGHRKI;
LURPT = LAGURPT;
LURKT = LAGURKT;
LHRIMPI = LAGHRIMPI; LHRXPI
= LAGHRXPI; LHRMKI
= LAGHRMKI; LHRXKI
= LAGHRXKI; LHRIKBI = LAGHRIKBI;
LHRKNI = LAGHRKNI;
LHRPWR = LAGHRPWR;
LHRKWR = LAGHRKWR;
LQPI = LAGQPI;
LDPI = LAGDPI;
LSPI = LAGSPI;
LQKI = LAGQKI;
LDKI = LAGDKI;
LSKI = LAGSKI;
LNTR = LAGNTR;
LMPI = LAGMPI;
LXPI = LAGXPI;
LMKI = LAGMKI;
LXKI = LAGXKI;
LSBKRI = LAGSBKRI;
LT = LAGT;
LTIK = LAGTIK;
LTIP = LAGTIP;
Membuat selisih SHRPI
= HRPI-LHRPI; SHRLI
= HRLI-LHRLI; SHRKI
= HRKI-LHRKI; SURPT
= URPT-LURPT;
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