Simpulan SIMPULAN DAN SARAN

Nugroho, H. 2005. Apakah persoalannya pada subsidi BBM? Tinjauan terhadap masalah subsidi BBM, ketergantungan pada minyak bumi, manajemen energi nasional, dan pembangunan infrastruktur energi. Majalah Perencanaan Pembangunan Nasional Edisi 02X2005. Nugroho, H.T. 2010. Dampak Kebijakan Subsidi Harga Bahan Bakar Minyak dan Elpiji terhadap Pertumbuhan Ekonomi dan Kemiskinan di Indonesia [disertasi]. Bogor: Fakultas Ekonomi dan Manajemen. Institut Pertanian Bogor. Olomola, P.A. and A.V. Adejumo. 2006. Oil Price Shock and Macroeconomic Activities in Nigeria. International Research Journal of Finance and Economics Issue 3 Penn, D.A. 2006. What Do We Know About Oil Prices and State Economic Performance?. Federal Reserve Bank of St. Louis Regional Economic Development 22:131-139. Romer, D. 2006. Advanced Macroeconomics. 3 rd Ed. New York: McGraw- HillIrwin. Roubini, N. and B. Setser. 2004. The Effects of the Recent Oil Price Shock on the U.S. and Global Economy. Salvatore, D. 1996. Ekonomi Internasional Edisi Kelima Jilid 1 Terjemahan. PT. Gelora Aksara Pratama, Jakarta. Sato, K., Z. Zhang, and M. McAleer. 2009. Identifying Shocks in Regionally Integrated East Asian Economies with Structural VAR and Block Exogeneity. Center for International Research on the Japanese Economy Working Paper Series. No. EI 2010-09. Sims, C. 1980. Comparison of Interwar and Postwar Business Cycles: Monetarism Reconsidered. American Economic Review 70:250-257. Unalmis, D., I. Unalmis, and D.F. Unsal. 2009. On the Sources of Oil Price Fluctuations. IMF WP 09285. Verbeek, M. 2008. A Guide to Modern Econometrics. Edisi Ketiga. RSM Erasmus University, Rotterdam. Windmeijer, F. 2000. A finite Sample Correction for The Variance of Linear Two-step Gmm Estimators. The Institute for Fiscal Studies WP 0019 World Bank. 2011. World Development Indicators 2010. Washington D.C., USA. http:data.worldbank.orgindicator [29 Januari 2011] LAMPIRAN Lampiran 1. Perbandingan Hasil Estimasi Koefisien ‘Model Inflasi’ dengan Metode Data Panel Statis, Dinamis, dan OLS Variabel Dependen: ∆ln_cpi Model Statis Model Dinamis FD-GMM OLS FEM REM Twostep Twostep-robust 1 1 2 3 4 5 6 ∆ln_cpi L1 -0,1865 0,7755 0,6252 0,6252 0,7755 0,1600 0,1054 0,4203 0,3847 0,1054 ∆ln_gdp -0,2310 -0,1117 -1,3241 -1,3241 -0,1117 0,1114 0,0984 0,5140 0,5067 0,0984 ∆ln_opi 0,0680 0,0241 0,0553 0,0553 0,0241 0,0175 0,0221 0,0134 0,0148 0,0221 ∆rir 0,0007 -0,0011 -0,0032 -0,0032 -0,0011 0,0008 0,0010 0,0019 0,0020 0,0010 ∆openness -0,0003 0,0001 -0,0002 -0,0002 0,0001 0,0002 0,0003 0,0001 0,0004 0,0003 Konstan 0,0408 0,0133 0,0133 0,0064 0,0063 0,0063 Uji F 3,41 [0,0099] 12,72[0,0000] Uji Chow 8,01[0,0000] Uji Breusch-Pagan 0,05[0,8255] Wald-Test 63,60[0,0000] 31,45[0,0000] 40,16 [0,0000] Uji Hausman 85,75[0,0000] Arelano-Bond m 1 -2,48[0,0129] -2,66 [0,0079] Arelano-Bond m 2 -1,41[0,1583] -1,38 [0,1671] Uji Sargan 1,49[1,0000] Catatan: 1 Hasil twostep-robust menggunakan robust standard error yang terkoreksi untuk sampel terbatas Windmeijer, 2000 Keterangan: : Signifikan pada taraf nyata 1 : Signifikan pada taraf nyata 5 : Signifikan pada taraf nyata 10 : Simpangan baku standard error [ ] : P-value