Kesimpulan KESIMPULAN DAN IMPLIKASI KEBIJAKAN

MODEL TKSI = TQSI ; MODEL TKKSB= RTQSB; MODEL TKKSL= TQSLL; BLOK IPM; MODEL AHH = BSK KRTCAP; MODEL AMH = BSK BSP KRTCAP; MODEL RLS = BSP KRTCAP APSD; MODEL PPP = U KRTCAP; MODEL TKDK = PPP; RUN; Lampiran 2. Hasil Estimasi Model Fiskal dan Indeks Pembangunan Manusia The SAS System The TSCSREG Procedure Dependent Variable: PJKD PJKD Model Description Estimation Method FixOne Number of Cross Sections 21 Time Series Length 5 Fit Statistics SSE 3.832422E12 DFE 82 MSE 46736859664 Root MSE 216187.0941 R ‐Square 0.8877 F Test for No Fixed Effects Num DF Den DF F Value Pr F 20 82 6.78 .0001 Parameter Estimates Standard Variable DF Estimate Error t Value Pr |t| Label CS1 1 ‐322740 140122 ‐2.30 0.0238 Cross Sectional Effect 1 CS2 1 449400.5 142213 3.16 0.0022 Cross Sectional Effect 2 CS3 1 34088.64 137485 0.25 0.8048 Cross Sectional Effect 3 CS4 1 ‐185510 161808 ‐1.15 0.2549 Cross Sectional Effect 4 CS5 1 ‐200386 143744 ‐1.39 0.1671 Cross Sectional Effect 5 CS6 1 ‐52791.2 138656 ‐0.38 0.7044 Cross Sectional Effect 6 CS7 1 ‐267749 145236 ‐1.84 0.0689 Cross Sectional Effect 7 CS8 1 ‐126410 138347 ‐0.91 0.3635 Cross Sectional Effect 8 CS9 1 1486278 263150 5.65 .0001 Cross Sectional Effect 9 CS10 1 716330.6 186456 3.84 0.0002 Cross Sectional Effect 10 CS11 1 ‐99427.4 145479 ‐0.68 0.4962 Cross Sectional Effect 11 CS12 1 205928.2 148006 1.39 0.1679 Cross Sectional Effect 12 CS13 1 ‐248039 143627 ‐1.73 0.0879 Cross Sectional Effect 13 CS14 1 ‐336373 140480 ‐2.39 0.0189 Cross Sectional Effect 14 CS15 1 ‐236657 139392 ‐1.70 0.0933 Cross Sectional Effect 15 CS16 1 ‐50367.2 138805 ‐0.36 0.7176 Cross Sectional Effect 16 CS17 1 ‐178463 149412 ‐1.19 0.2358 Cross Sectional Effect 17 CS18 1 ‐255484 143522 ‐1.78 0.0788 Cross Sectional Effect 18 CS19 1 ‐4715.28 141048 ‐0.03 0.9734 Cross Sectional Effect 19 CS20 1 ‐316288 142940 ‐2.21 0.0297 Cross Sectional Effect 20 Intercept 1 289904.4 120508 2.41 0.0184 Intercept BLJ 1 0.038427 0.0162 2.37 0.0201 BLJ PP 1 0.011069 0.0176 0.63 0.5312 PP The SAS System The TSCSREG Procedure Dependent Variable: DAU DAU Model Description Estimation Method FixOne Number of Cross Sections 21 Time Series Length 5 Fit Statistics SSE 1.3539E13 DFE 82 MSE 1.651097E11 Root MSE 406336.9606 R ‐Square 0.9648 F Test for No Fixed Effects Num DF Den DF F Value Pr F 20 82 17.66 .0001 Parameter Estimates Standard Variable DF Estimate Error t Value Pr |t| Label CS1 1 ‐1020098 370006 ‐2.76 0.0072 Cross Sectional Effect 1 CS2 1 ‐1671898 1907809 ‐0.88 0.3834 Cross Sectional Effect 2 CS3 1 215350.8 434630 0.50 0.6216 Cross Sectional Effect 3 CS4 1 ‐2812575 755733 ‐3.72 0.0004 Cross Sectional Effect 4 CS5 1 ‐405987 278888 ‐1.46 0.1493 Cross Sectional Effect 5 CS6 1 ‐1458145 863424 ‐1.69 0.0951 Cross Sectional Effect 6 CS7 1 ‐12921.7 296570 ‐0.04 0.9654 Cross Sectional Effect 7 CS8 1 ‐931369 991311 ‐0.94 0.3502 Cross Sectional Effect 8 CS9 1 ‐7846791 7011845 ‐1.12 0.2664 Cross Sectional Effect 9 CS10 1 ‐4688470 5535097 ‐0.85 0.3994 Cross Sectional Effect 10 CS11 1 ‐324851 326788 ‐0.99 0.3231 Cross Sectional Effect 11 CS12 1 ‐441417 325500 ‐1.36 0.1788 Cross Sectional Effect 12 CS13 1 ‐416506 483770 ‐0.86 0.3918 Cross Sectional Effect 13 CS14 1 95117.08 426795 0.22 0.8242 Cross Sectional Effect 14 CS15 1 80766.03 466438 0.17 0.8630 Cross Sectional Effect 15 CS16 1 ‐126597 302810 ‐0.42 0.6770 Cross Sectional Effect 16 CS17 1 ‐2545593 271564 ‐9.37 .0001 Cross Sectional Effect 17 CS18 1 38032.48 269604 0.14 0.8882 Cross Sectional Effect 18 CS19 1 ‐596506 1163541 ‐0.51 0.6096 Cross Sectional Effect 19 CS20 1 322270.7 333236 0.97 0.3363 Cross Sectional Effect 20 Intercept 1 8243.43 464529 0.02 0.9859 Intercept BLJ 1 0.384778 0.0367 10.48 .0001 BLJ POP 1 243.3648 193.2 1.26 0.2114 POP