• Tidak ada hasil yang ditemukan

Saran Penelitian Lebih Lanjut

Keterbatasan dalam penelitian ini adalah belum bisa menjelaskan lebih jauh mengenai perbedaan inflasi antar wilayah yang disebabkan oleh perbedaan kondisi infrastruktur dan derajat keterbukaan perdagangan. Saran untuk penelitian lebih lanjut adalah sebagai berikut :

1. Memperluas proksi dari data infrastruktur yang tidak hanya diwakili panjang jalan raya kualitas baik saja, tetapi mencakup infrastruktur lainnya seperti panjang jalan tol, panjang rel kereta api serta beberapa infrastruktur ekonomi lainnya.

2. Memasukkan variabel yang mewakili struktur ekonomi wilayah dalam pemodelan inflasi, karena tidak menutup kemungkinan hal tersebut bisa menjelaskan lebih jauh mengenai adanya perbedaan tingkat inflasi maupun perbedaan volatilitas inflasi antara wilayah.

3. Melakukan pengembangan lebih lanjut tetap dalam pemodelan inflasi yang mempertimbangkan keterkaitan secara spasial yaitu dengan menggabungkan model spatial lag dan spatial error agar bisa lebih menangkap keterkaitan spasial antar wilayah, disamping menggunakan beberapa alternatif matrik penimbang spasial yang tidak hanya dapat menangkap keterkaitan secara spasial tetapi juga cukup sensitif dalam menangkap shock yang berasal dari perekonomian global.

Achsani, N. A. dan H. F. Nababan (2008) : “Dampak Perubahan Kurs (Pass-Through Effect) Terhadap Tujuh Kelompok Indeks Harga Konsumen di Indonesia”, Jurnal Ekonomi dan Kebijakan Pembangunan Vol. 11, Issue 1, pp. 1-15.

Atmadja, A. S. (1999) : “Inflasi di Indonesia : Sumber-sumber Penyebab dan Pengendaliannya”, Jurnal Akuntansi dan Keuangan, Vol. 1, No. 1, pp. 54-67.

Al-Nasser, O. M., A. Sachsida and M. J. C. Mendonça (2009) : “The Openness-Inflation Puzzle: Panel Data Evidence”, International Research Journal of Finance and Economics, Issue 28, pp. 169-181.

Anglingkusumo, R. (2005) : “Money - Inflation Nexus in Indonesia”, Tinbergen Institute Discussion Paper, No. TI 2005-054/4.

Andrés, J., E. Ortega and J. Vallés (2008) : “Competition and Inflation Differentials in EMU”, Journal of Economic Dynamics and Control, Vol. 32, Issue 3, pp. 848-874.

Baltagi, B. H. (2005) :”Econometric Analysis of Panel Data”, 3rd Ed. Chicester: John Wiley & Sons. Ltd. West Sussex.

Baltagi, B. H., U. Blien and K. Wolf (2010) : “A Dynamic Spatial Panel Data Approach To The German Wage Curve”, Center for Policy Research – Syracuse University Working Paper, No. 126.

Bayoumi, T., dan B. Eichengreen (1992) : “Macroeconomic Adjustment Under Bretton Woods and The Post-Bretton Woods Float : An Impulse-Response Analysis”, NBER Working Paper Series, No. 4169.

Beirne, J. (2009) : “Vulnerability of Inflation in The New EU Member States to Country-specific and Global Factors”, Economics Bulletin, Vol. 29, No. 2, pp. 1420-1431.

Benigno, P., and E. Faia (2010) : “Globalization, Pass-Through and Inflation Dynamic”, NBER Working Paper Series, No. 15842.

Blanchard, O. (2004) : “Macroeconomics”, 4thEd. Prentice Hall. New Jersey. Blanchflower, D. G., and C. MacCoille (2009) : “The Formation Of Inflation

Expectations: An Empirical Analysis For The UK”, NBER Working Paper Series, No. 15388.

Bodman, P. et al. (2009) : “Fiscal Decentralisation, Macroeconomic Conditions and Economic Growth in Australia”, Macroeconomics Research Group Report. School of Economics, The University of Queensland. St. Lucia. Bowdler, C. and A. Malik. (2006) : “Openness and inflation volatility: Panel data

evidence”, Nuffield College, University of Oxford. Working paper. No. 8/2005.

Campa, J.M., and L.S. Goldberg (2002): “Exchange Rate Pass-Through into Import Prices: A Macro or Micro Phenomenon?,” NBER Working Paper Series, No. 8934.

Cappelo, R. (2007) : “Regional Economics”, 1st Ed. Routledge. London & New York.

Cerra, V. and S. C. Saxena (2000) : “Alternative Methods of Estimating Potential Output and the Output Gap: An Application to Sweden”, IMF Working Paper, No. WP/00/59.

Camola, M. and L. de Mello (2010) : “How Does Decentralized Minimum Wage Setting Affect Employment and Informality? The case of Indonesia” OECD Papers.

Edwards, S. (2006): “The Relationship between Exchange Rates and Inflation Targeting Revisited,” NBER Working Paper Series, No. 12163.

Enders, W. (2004) : “Applied Econometric Time Series”, 2nd Ed. John Wiley & Sons Inc. New York.

Gali, J. (2002) : ” New Perspectives On Monetary Policy, Inflation, And The Business Cycle”, NBER Working Paper Series, No. 8767.

Gali, J. and M. Gertler (2000) : “Inflation Dynamics: A Structural Econometric Analysis” , Journal of Monetary Economics, No. 44, pp. 195-222.

Gali, J., M. Gertler and J.D. Lopez-Salido (2001) : “European Inflation Dynamics”, NBER Working Paper Series, No. 8218.

Gali, J., M. Gertler and J.D. Lopez-Salido (2005) : “Robustness Of The Estimates of The Hybrid New Keynesian Phillips Curve”, NBER Working Paper Series, No. 11788.

Gibbs, D. (1995) : “Potential Output: Concepts and Measurement” Labour Market Bulletin, Issue 1, pp. 72 – 115.

Habermeier, K. et al. (2009) : “Inflation Pressures and Monetary Policy Options in Emerging and Developing Countries: A Cross Regional Perspective”, IMF Working Paper, No. WP/09/01.

Hanh, E. (2002) : “Core Inflation in the Euro Area: Evidence from the Structural VAR Approach”, CFS Working Paper No. 2001/09.

Hess, G. D. and M. E. Schweitzer (2000) : “Does Wage Inflation Cause Price Inflation?”, Federal Reserve Bank of Cleveland - Policy Discussion Papers No. 10.

Ishak-Kasim, S. and A. D. Ahmed (2009) : “Inflation Expectations Formation and Financial Stability in Indonesia“,The Empirical Economics Letters, Vol. 8, No. 9, pp. 833-842.

Ito, T., and K. Sato. (2006): “Exchange Rate Changes and Inflation in Post-Crisis Asian Economies: VAR Analysis of the Exchange Rate Pass-Through,” NBER Working Paper Series, No. 12395.

Jacobs, J. P.A.M., J. E. Ligtharty, and H. Vrijburg (2009) : “Dynamic Panel Data Models Featuring Endogenous Interaction and Spatially Correlated Errors”, CentER Discussion Paper Series, No. 2009-92.

Justiniano, A. and G. E. Primiceri (2008) : “Potential and Natural Output”, Federal Reserve Bank of Chicago Working Papers.

Kapoor, M., H. Kelejian, and I. R. Prucha (2007): “Panel Data Models with Spatially Correlated Error Components”, Journal of Econometrics, No. 140, pp. 97-130.

Kelejian, H.H. and I.R. Prucha (1999) : “A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model”, International Economic Review, Vol. 40, No. 2, pp. 509-533.

Kiley, M. T. (2009) : “Inflation Expectations, Uncertainty, the Phillips Curve, and Monetary Policy”, Finance and Economics Discussion Series – Federal Reserve Board, Washington, D.C. No. 2009-15.

Kukenova, M., and J. A. Monteiro (2009): “Spatial Dynamic Panel Model and System GMM: A Monte Carlo Investigation”, mimeo, University of Lausanne.

Kwon, G., L. Mcfarlane, And W. Robinson (2009) : “ Public Debt, Money Supply, and Inflation: A Cross-Country Study”, IMF Staff Papers, Vol. 56, No. 3, pp. 476-515.

Ladiray, D., G. L. Mazzi, and F. Sartori (2003) : “Statistical Methods for Potential Output Estimation and Cycle Extraction”, European Commission Working Papers and Studies, No. KS-AN-03-15-EN-N. European Communities. Luxembourg.

Lemos, S. (2004a) : “The Effect of the Minimum Wage on Prices in Brazil”, IZA Discussion Paper, No. 1071.

Lemos, S. (2004b) : “The Effect of the Minimum Wage on Prices”, IZA Discussion Paper, No. 1072.

Lünnemann, P., and T. Y. Mathä (2005) : “Regulated and Services’ Prices and Inflation Persistence”, ECB Working Papers, No. 466.

Mankiw, N. G. (2007) : “Makroekonomi”, Edisi Keenam. Terjemahan dari Macroeconomics. 6th Editon. Worth Publishers. Liza, F dan Imam Nurmawan, [penerjemah]. Erlangga, Jakarta.

Marques, H., G. Pino and J. D. Tena (2009) : “Regional Inflation Dynamics Using Space-Time Models”, CRENOS Working Paper, No. 2009/15.

Mehrotra, A., T. Peltonen and A.S. Rivera (2007) : “Modelling inflation in China – a regional perspective”, BOFIT Discussion Papers Bank of Finland, No. 19/2007.

Mishkin, F. S. (2004) : “The Economics of Money, Banking, and Financial Markets”, 7thEd. Pearson Addison Wesley.

Mohanty, M. S., and M. Klau (2001) : “What Determines Inflation in Emerging Market Economies” Bank for International Settlements (BIS) Papers, No. 8. pp. 1-38.

Oommen, M. A. (2008) : “Fiscal Decentralisation to Local Governments in India”, Cambridge Scholars Publishing. Newcastle, UK.

Oosterhaven, J. and J. P. Elhorst (2003) : "Indirect Economic Benefits of Transport Infrastructure Investments", Across The Border. pp. 143-161. De Boeck, Ltd.

Orphanides, A., and J. C. Williams (2003) : “Imperfect Knowledge, Inflation Expectations, And Monetary Policy”, NBER Working Paper Series, No. 9884.

Prasertnukul, W., D. Kim and M. Kakinaka (2010) : “Exchange Rates, Price Levels, and Inflation Targeting: Evidence from Asian Countries”, Graduate School of International Relations International - University of Japan (GSIR) Working Papers, No. EDP10-1.

Roger, S. (1998) : “Core Inflation: Concepts, Uses and Measurement”, Reserve Bank of New Zealand Discussion Paper Series, No. G98/9.

Romer, D. (2006) : “Advanced Macroeconomics”, 3rdEd. McGraw-Hill/Irvin. Salvatore, D. (1996) : “International Economics”, 5th Ed. Alih Bahasa. Jilid 1.

Penerbit Erlangga. Jakarta.

Sims, C. A. (1994) : “A Simple Model for Study of The Determination of The Price Level and The Interaction of Monetary and Fiscal Policy”, Economic Theory, Vol. 4, No. 3, pp. 381-399.

Solikin (2004) : “Kurva Phillips dan Perubahan Struktural di Indonesia : Keberadaan, Linearitas, dan Pembentukan Ekspektasi”, Buletin Ekonomi Moneter dan Perbankan (BEMP), Maret, Bank Indonesia.

Solikin (2007) : “Karakteristik Tekanan Inflasi di Indonesia: Pengaruh Dinamis Sisi Permintaan-Penawaran dan Prospek ke Depan”, Buletin Ekonomi Moneter dan Perbankan (BEMP), Januari, Bank Indonesia.

Solikin dan I. Sugema (2004) : “Rigiditas Harga-Upah dan Implikasinya bagi Kebijakan Moneter di Indonesia”, Buletin Ekonomi Moneter dan Perbankan (BEMP), September, Bank Indonesia.

Sugiyarto, G. and B. A. Endriga (2008) : “Do Minimum Wages Reduce Employment and Training?”, Asian Development BankEconomics and Research Department Working Paper Series No. 113.

Tambunan, T. (2009) : “Perekonomian Indonesia”, Ghalia Indonesia. Jakarta. Verbeek, M. (2008) : “A Guide to Modern Econometrics”, 3rdEd. Chicester: John

Wiley & Sons. Ltd. West Sussex.

Windmeijer, F. (2005) : “A Finite Sample Correction for The Variance of Linear Efficient Two-Step GMM Estimators”, Journal of Econometrics, No. 126, 25 – 51.

Wimanda, R. E. (2006) : “Regional Inflation in Indonesia: Characteristic, Convergence, and Determinants”, Bank Indonesia Working Papers, No. WP/ 13 / 2006.

Wimanda, R. E., P. Turner and M. J. B. Hall (2011) : “Expectations and The Inertia of Inflation: The Case of Indonesia”, Journal of Policy Modeling, Vol. 33, Issue 3, pp. 426-438. [abstract] EconPapers

World Bank (2009) : “World Development Report (WDR) 2009 : Reshaping Economic Geography”, The World Bank. Washington, DC.

Lampiran 1 Hasil Pengujian Panel Unit Root dengan Program Eviews v6

ln IHK (P)

Panel unit root test: Summary Series: P

Date: 03/12/11 Time: 13:12 Sample: 1999 2009

Exogenous variables: Individual effects, individual linear trends Automatic selection of maximum lags

Automatic selection of lags based on SIC: 0 to 1 Newey-West bandwidth selection using Bartlett kernel

Cross-Method Statistic Prob.** sections Obs

Null: Unit root (assumes common unit root process)

Levin, Lin & Chu t* -9.7309 0.0000 26 250

Breitung t-stat -2.4118 0.0079 26 224

Null: Unit root (assumes individual unit root process)

Im, Pesaran and Shin W-stat -1.7944 0.0364 26 250

ADF - Fisher Chi-square 73.9352 0.0244 26 250

PP - Fisher Chi-square 99.8052 0.0001 26 260

** Probabilities for Fisher tests are computed using an asymptotic Chi -square distribution. All other tests assume asymptotic normality.

Differencing dari ln IHK ( P)

Panel unit root test: Summary Series: D(AP)

Date: 03/12/11 Time: 13:15 Sample: 1999 2009

Exogenous variables: Individual effects Automatic selection of maximum lags

Automatic selection of lags based on SIC: 0 to 1 Newey-West bandwidth selection using Bartlett kernel

Cross-Method Statistic Prob.** sections Obs

Null: Unit root (assumes common unit root process)

Levin, Lin & Chu t* -12.9413 0.0000 26 220

Null: Unit root (assumes individual unit root process)

Im, Pesaran and Shin W-stat -6.9265 0.0000 26 220

ADF - Fisher Chi-square 151.4514 0.0000 26 220

PP - Fisher Chi-square 216.5206 0.0000 26 234

** Probabilities for Fisher tests are computed using an asymptotic Chi -square distribution. All other tests assume asymptotic normality.

“Suku Bunga” (IR)

Panel unit root test: Summary Series: IR

Date: 03/12/11 Time: 13:28 Sample: 1999 2009

Exogenous variables: Individual effects, individual linear trends Automatic selection of maximum lags

Automatic selection of lags based on SIC: 0 to 1 Newey-West bandwidth selection using Bartlett kernel

Cross-Method Statistic Prob.** sections Obs

Null: Unit root (assumes common unit root process)

Levin, Lin & Chu t* -12.1771 0.0000 26 253

Breitung t-stat 0.9414 0.8268 26 227

Null: Unit root (assumes individual unit root process)

Im, Pesaran and Shin W-stat -3.3565 0.0004 26 253

ADF - Fisher Chi-square 105.0075 0.0000 26 253

PP - Fisher Chi-square 162.0858 0.0000 26 260

** Probabilities for Fisher tests are computed using an asymptotic Chi -square distribution. All other tests assume asymptotic normality.

Differencing dari “Suku Bunga” ( IR)

Panel unit root test: Summary Series: D(IR)

Date: 03/12/11 Time: 13:29 Sample: 1999 2009

Exogenous variables: Individual effects Automatic selection of maximum lags

Automatic selection of lags based on SIC: 0 to 1 Newey-West bandwidth selection using Bartlett kernel

Cross-Method Statistic Prob.** sections Obs

Null: Unit root (assumes common unit root process)

Levin, Lin & Chu t* -16.1352 0.0000 26 216

Null: Unit root (assumes individual unit root process)

Im, Pesaran and Shin W-stat -9.9451 0.0000 26 216

ADF - Fisher Chi-square 204.5965 0.0000 26 216

PP - Fisher Chi-square 327.9354 0.0000 26 234

** Probabilities for Fisher tests are computed using an asymptotic Chi -square distribution. All other tests assume asymptotic normality.

ln M1 (M1)

Panel unit root test: Summary Series: M1

Date: 03/12/11 Time: 13:17 Sample: 1999 2009

Exogenous variables: Individual effects, individual linear trends Automatic selection of maximum lags

Automatic selection of lags based on SIC: 0 to 1 Newey-West bandwidth selection using Bartlett kernel

Cross-Method Statistic Prob.** sections Obs

Null: Unit root (assumes common unit root process)

Levin, Lin & Chu t* -9.4393 0.0000 26 236

Breitung t-stat -0.6682 0.2520 26 210

Null: Unit root (assumes individual unit root process)

Im, Pesaran and Shin W-stat -2.1005 0.0178 26 236

ADF - Fisher Chi-square 90.8938 0.0007 26 236

PP - Fisher Chi-square 61.4413 0.1737 26 260

** Probabilities for Fisher tests are computed using an asymptotic Chi -square distribution. All other tests assume asymptotic normality.

Differencing dari ln M1 ( M1)

Panel unit root test: Summary Series: D(M1)

Date: 03/12/11 Time: 13:17 Sample: 1999 2009

Exogenous variables: Individual effects Automatic selection of maximum lags

Automatic selection of lags based on SIC: 0 to 1 Newey-West bandwidth selection using Bartlett kernel

Cross-Method Statistic Prob.** sections Obs

Null: Unit root (assumes common unit root process)

Levin, Lin & Chu t* -14.3416 0.0000 26 215

Null: Unit root (assumes individual unit root process)

Im, Pesaran and Shin W-stat -7.8734 0.0000 26 215

ADF - Fisher Chi-square 168.8520 0.0000 26 215

PP - Fisher Chi-square 189.2346 0.0000 26 234

** Probabilities for Fisher tests are computed using an asymptotic Chi -square distribution. All other tests assume asymptotic normality.

ln KURS (XR)

Panel unit root test: Summary Series: XR

Date: 03/15/11 Time: 17:35 Sample: 1999 2009

Exogenous variables: Individual effects User specified lags at: 1

Newey-West bandwidth selection using Bartlett kernel Balanced observations for each test

Cross-Method Statistic Prob.** sections Obs

Null: Unit root (assumes common unit root process)

Levin, Lin & Chu t* -3.2472 0.0006 26 234

Null: Unit root (assumes individual unit root process)

Im, Pesaran and Shin W-stat 2.5096 0.9940 26 234

ADF - Fisher Chi-square 16.3061 1.0000 26 234

PP - Fisher Chi-square 0.7272 1.0000 26 260

** Probabilities for Fisher tests are computed using an asymptotic Chi -square distribution. All other tests assume asymptotic normality.

Differencing dari ln KURS ( XR)

Panel unit root test: Summary Series: D(XR)

Date: 03/15/11 Time: 17:33 Sample: 1999 2009

Exogenous variables: Individual effects User specified lags at: 1

Newey-West bandwidth selection using Bartlett kernel Balanced observations for each test

Cross-Method Statistic Prob.** sections Obs

Null: Unit root (assumes common unit root process)

Levin, Lin & Chu t* -49.2175 0.0000 26 208

Null: Unit root (assumes individual unit root process)

Im, Pesaran and Shin W-stat -25.5593 0.0000 26 208

ADF - Fisher Chi-square 431.5761 0.0000 26 208

PP - Fisher Chi-square 370.9997 0.0000 26 234

** Probabilities for Fisher tests are computed using an asymptotic Chi -square distribution. All other tests assume asymptotic normality.

ln “GAJI MINIMUM PNS” (W2)

Panel unit root test: Summary Series: W2

Date: 03/12/11 Time: 13:24 Sample: 1999 2009

Exogenous variables: Individual effects, individual linear trends Automatic selection of maximum lags

Automatic selection of lags based on SIC: 0

Newey-West bandwidth selection using Bartlett kernel

Cross-Method Statistic Prob.** sections Obs

Null: Unit root (assumes common unit root process)

Levin, Lin & Chu t* -5.0244 0.0000 26 260

Breitung t-stat -4.4263 0.0000 26 234

Null: Unit root (assumes individual unit root process)

Im, Pesaran and Shin W-stat -0.0242 0.4903 26 260

ADF - Fisher Chi-square 41.1700 0.8598 26 260

PP - Fisher Chi-square 39.914238 0.8897 26 260

** Probabilities for Fisher tests are computed using an asymptotic Chi -square distribution. All other tests assume asymptotic normality.

Differencing dari ln “GAJI MINIMUM PNS” ( W2)

Panel unit root test: Summary Series: D(W2)

Date: 03/12/11 Time: 13:25 Sample: 1999 2009

Exogenous variables: Individual effects Automatic selection of maximum lags Automatic selection of lags based on SIC: 0

Newey-West bandwidth selection using Bartlett kernel

Cross-Method Statistic Prob.** sections Obs

Null: Unit root (assumes common unit root process)

Levin, Lin & Chu t* -17.6673 0.0000 26 234

Null: Unit root (assumes individual unit root process)

Im, Pesaran and Shin W-stat -9.0332 0.0000 26 234

ADF - Fisher Chi-square 180.6372 0.0000 26 234

PP - Fisher Chi-square 179.2809 0.0000 26 234

** Probabilities for Fisher tests are computed using an asymptotic Chi -square distribution. All other tests assume asymptotic normality.

ln “INDEKS HARGA BBM” (BM)

Panel unit root test: Summary Series: BM

Date: 03/12/11 Time: 13:26 Sample: 1999 2009

Exogenous variables: Individual effects, individual linear trends Automatic selection of maximum lags

Automatic selection of lags based on SIC: 0

Newey-West bandwidth selection using Bartlett kernel

Cross-Method Statistic Prob.** sections Obs

Null: Unit root (assumes common unit root process)

Levin, Lin & Chu t* -7.0806 0.0000 26 260

Breitung t-stat -3.0760 0.0010 26 234

Null: Unit root (assumes individual unit root process)

Im, Pesaran and Shin W-stat -0.5872 0.2785 26 260

ADF - Fisher Chi-square 48.3319 0.6189 26 260

PP - Fisher Chi-square 46.161953 0.7017 26 260

** Probabilities for Fisher tests are computed using an asymptotic Chi -square distribution. All other tests assume asymptotic normality.

Differencing dari ln “INDEKS HARGA BBM” ( BM)

Panel unit root test: Summary Series: D(BM)

Date: 03/12/11 Time: 13:27 Sample: 1999 2009

Exogenous variables: Individual effects Automatic selection of maximum lags Automatic selection of lags based on SIC: 0

Newey-West bandwidth selection using Bartlett kernel

Cross-Method Statistic Prob.** sections Obs

Null: Unit root (assumes common unit root process)

Levin, Lin & Chu t* -16.4082 0.0000 26 234

Null: Unit root (assumes individual unit root process)

Im, Pesaran and Shin W-stat -8.1940 0.0000 26 234

ADF - Fisher Chi-square 166.3980 0.0000 26 234

PP - Fisher Chi-square 250.3580 0.0000 26 234

** Probabilities for Fisher tests are computed using an asymptotic Chi -square distribution. All other tests assume asymptotic normality.

ln “PENGELUARAN PEMERINTAH” (G)

Panel unit root test: Summary Series: G

Date: 03/12/11 Time: 13:21 Sample: 1999 2009

Exogenous variables: Individual effects, individual linear trends Automatic selection of maximum lags

Automatic selection of lags based on SIC: 0 to 1 Newey-West bandwidth selection using Bartlett kernel

Cross-Method Statistic Prob.** sections Obs

Null: Unit root (assumes common unit root process)

Levin, Lin & Chu t* -11.4830 0.0000 26 255

Breitung t-stat -0.0636 0.4746 26 229

Null: Unit root (assumes individual unit root process)

Im, Pesaran and Shin W-stat -1.8832 0.0298 26 255

ADF - Fisher Chi-square 70.7246 0.0430 26 255

PP - Fisher Chi-square 47.5833 0.6481 26 260

** Probabilities for Fisher tests are computed using an asymptotic Chi -square distribution. All other tests assume asymptotic normality.

Differencing dari ln “PENGELUARAN PEMERINTAH” ( G)

Panel unit root test: Summary Series: D(G)

Date: 03/12/11 Time: 13:21 Sample: 1999 2009

Exogenous variables: Individual effects Automatic selection of maximum lags

Automatic selection of lags based on SIC: 0 to 1 Newey-West bandwidth selection using Bartlett kernel

Cross-Method Statistic Prob.** sections Obs

Null: Unit root (assumes common unit root process)

Levin, Lin & Chu t* -14.2942 0.0000 26 227

Null: Unit root (assumes individual unit root process)

Im, Pesaran and Shin W-stat -7.6611 0.0000 26 227

ADF - Fisher Chi-square 157.2753 0.0000 26 227

PP - Fisher Chi-square 144.9795 0.0000 26 234

** Probabilities for Fisher tests are computed using an asymptotic Chi -square distribution. All other tests assume asymptotic normality.

ln “UPAH MINIMUM PROVINSI/UMP” (W1)

Panel unit root test: Summary Series: W1

Date: 03/12/11 Time: 13:22 Sample: 1999 2009

Exogenous variables: Individual effects, individual linear trends Automatic selection of maximum lags

Automatic selection of lags based on SIC: 0 to 1 Newey-West bandwidth selection using Bartlett kernel

Cross-Method Statistic Prob.** sections Obs

Null: Unit root (assumes common unit root process)

Levin, Lin & Chu t* -13.4858 0.0000 26 254

Breitung t-stat 0.2371 0.5937 26 228

Null: Unit root (assumes individual unit root process)

Im, Pesaran and Shin W-stat -4.2887 0.0000 26 254

ADF - Fisher Chi-square 109.1367 0.0000 26 254

PP - Fisher Chi-square 122.7309 0.0000 26 260

** Probabilities for Fisher tests are computed using an asymptotic Chi -square distribution. All other tests assume asymptotic normality.

Differencing dari ln “UPAH MINIMUM PROVINSI/UMP” ( W1)

Panel unit root test: Summary Series: D(W1)

Date: 03/12/11 Time: 13:23 Sample: 1999 2009

Exogenous variables: Individual effects Automatic selection of maximum lags

Automatic selection of lags based on SIC: 0 to 1 Newey-West bandwidth selection using Bartlett kernel

Cross-Method Statistic Prob.** sections Obs

Null: Unit root (assumes common unit root process)

Levin, Lin & Chu t* -16.0341 0.0000 26 229

Null: Unit root (assumes individual unit root process)

Im, Pesaran and Shin W-stat -8.2761 0.0000 26 229

ADF - Fisher Chi-square 160.6471 0.0000 26 229

PP - Fisher Chi-square 183.0036 0.0000 26 234

** Probabilities for Fisher tests are computed using an asymptotic Chi -square distribution. All other tests assume asymptotic normality.

ln INFRASTRUKTUR (IS)

Panel unit root test: Summary Series: IS

Date: 03/12/11 Time: 13:33 Sample: 1999 2009

Exogenous variables: Individual effects, individual linear trends Automatic selection of maximum lags

Automatic selection of lags based on SIC: 0 to 1 Newey-West bandwidth selection using Bartlett kernel

Cross-Method Statistic Prob.** sections Obs

Null: Unit root (assumes common unit root process)

Levin, Lin & Chu t* -8.7645 0.0000 26 250

Breitung t-stat -0.4584 0.3233 26 224

Null: Unit root (assumes individual unit root process)

Im, Pesaran and Shin W-stat -1.7430 0.0407 26 250

ADF - Fisher Chi-square 79.0462 0.0092 26 250

PP - Fisher Chi-square 87.8803 0.0014 26 260

** Probabilities for Fisher tests are computed using an asymptotic Chi -square distribution. All other tests assume asymptotic normality.

Differencing dari ln INFRASTRUKTUR ( IS)

Panel unit root test: Summary Series: D(IS)

Date: 03/12/11 Time: 13:34 Sample: 1999 2009

Exogenous variables: Individual effects Automatic selection of maximum lags

Automatic selection of lags based on SIC: 0 to 1 Newey-West bandwidth selection using Bartlett kernel

Cross-Method Statistic Prob.** sections Obs

Null: Unit root (assumes common unit root process)

Levin, Lin & Chu t* -15.9528 0.0000 26 229

Null: Unit root (assumes individual unit root process)

Im, Pesaran and Shin W-stat -8.4009 0.0000 26 229

ADF - Fisher Chi-square 171.6119 0.0000 26 229

PP - Fisher Chi-square 233.1021 0.0000 26 234

** Probabilities for Fisher tests are computed using an asymptotic Chi -square distribution. All other tests assume asymptotic normality.