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Abstract
Penelitian ini bertujuan untuk membangun deteksi dini terjadinya krisis utang publik di Indonesia dengan pendekatan Markov Switching Dynamic Regression (MS-DR). Rasio utang terhadap PDB menjadi variabel dependen serta variabel moneter (inflasi, nilai tukar) dan variabel fiskal (konsumsi, investasi, belanja pemerintah, ekspor, pajak) sebagai variabel indikator. Hasil penelitian menunjukkan beberapa variabel indikator, baik fiskal maupun moneter, dapat memprediksi kondisi ekonomi, yaitu kondisi stabil atau krisis. Apabila perekonomian dalam keadaan stabil, probabilitas untuk mempertahankannya 95%, dan sebaliknya dalam kondisi krisis probabilitas untuk bertahan 86%, dengan durasi 21 kuartal kondisi stabil dan 7 kuartal kondisi kritis. Hal ini menunjukkan bahwa utang publik Indonesia cenderung memberikan probabilitas kondisi stabil yang lebih besar daripada kondisi krisis.
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References
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- Anwar, K. (2014). Analisis dampak defisit anggaran terhadap ekonomi makro di Indonesia. Jejaring Administrasi Publik, 2, 588-603.
- Blanchard, O. J. (1990). Suggestions for a new set of fiscal indicators. OECD Economics Department Working Papers, 79. Organization for Economic Co-operation and Development. doi: https://doi.org/10.1787/435618162862.
- BPS. (2017). Produk Domestik Bruto Indonesia Tahun 1990-2016.
- Bussiere, M., & Fratzscher, M. (2006). Towards a new early warning system of financial crises. Journal of International Money and Finance, 25(6), 953-973. doi: https://doi.org/10.1016/j.jimonfin.2006.07.007.
- Casu, B., Clare, A., & Saleh, N. (2011). Towards a new model for early warning signals for systemic financial fragility and near crises: An application to OECD countries. MPRA Paper 37043. Munich Personal RePEc Archive. https://mpra.ub.uni-muenchen.de/37043/.
- Dawood, M., Horsewood, N., & Strobel, F. (2017). Predicting sovereign debt crises: An early warning system approach. Journal of Financial Stability, 28, 16-28. doi: https://doi.org/10.1016/j.jfs.2016.11.008.
- Domar, E. D. (1944). The” burden of the debt” and the national income. The American Economic Review, 34(4), 798-827. http://www.jstor.org/stable/1807397.
- Frankel, J. A., & Rose, A. K. (1996). Currency crashes in emerging markets: An empirical treatment. Journal of International Economics, 41(3-4), 351-366. doi: https://doi.org/10.1016/S0022-1996(96)01441-9.
- Fuertes, A. M., & Kalotychou, E. (2006). Early warning systems for sovereign debt crises: The role of heterogeneity. Computational Statistics & Data Analysis, 51(2), 1420-1441. doi: https://doi.org/10.1016/j.csda.2006.08.023.
- Fuertes, A. M., & Kalotychou, E. (2007). Optimal design of early warning systems for sovereign debt crises. International Journal of Forecasting, 23(1), 85-100. doi: https://doi.org/10.1016/j.ijforecast.2006.07.001.
- Hamilton, J. D. (1990). Analysis of time series subject to changes in regime. Journal of Econometrics, 45(1-2), 39-70. doi: https://doi.org/10.1016/0304-4076(90)90093-9.
- Hamilton, J. D. (1996). Specification testing in Markov-switching time-series models. Journal of Econometrics, 70(1), 127-157. doi: https://doi.org/10.1016/0304-4076(69)41686-9.
- Jedidi, O. (2013). Predicting sovereign debt crises: A panel data approach using composite indices. University of Rennes. http://gdre2013.conference.univ-poitiers.fr/Jedidi.pdf.
- Kaminsky, G., Lizondo, S., & Reinhart, C. M. (1998). Leading indicators of currency crises. IMF Staff Papers, 45(1), 1-48. https://www.imf.org/external/pubs/ft/staffp/1998/03-98/kaminsky.htm.
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- Lewis, J. (2004). Sovereign debt sustainability in Jamaica: A risk management approach. Working Paper. https://www.boj.org.jm/uploads/pdf/papers pamphlets/papers pamphlets sovereign debt sustainability in jamaica - a risk managementapproach.pdf.
- Manasse, P., & Roubini, N. (2009). “Rules of thumb” for sovereign debt crises. Journal of International Economics, 78(2), 192-205. doi: https://doi.org/10.1016/j.jinteco.2008.12.002.
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- Savona, R., & Vezzoli, M. (2015). Fitting and forecasting sovereign defaults using multiple risk signals. Oxford Bulletin of Economics and Statistics, 77(1), 66-92. doi: https://doi.org/10.1111/obes.12052.
- Undang-undang Republik Indonesia No. 17 Tahun 2003 Tentang Keuangan Negara.
- Vlaar, P. J. (2000). Early warning systems for currency crises. BIS Conference Papers, 8, 253-274. https://www.bis.org/publ/confer08m.pdf.
References
Abiad, M. A. (2003). Early warning systems: A survey and a regime-switching approach. IMF Working Paper WP/03/32. International Monetary Fund. https://www.imf.org/en/Publications/WP/Issues/2016/12/30/Early-Warning-Systems-A-Survey-and-a-Regime-Switching-Approach-16293.
Anwar, K. (2014). Analisis dampak defisit anggaran terhadap ekonomi makro di Indonesia. Jejaring Administrasi Publik, 2, 588-603.
Blanchard, O. J. (1990). Suggestions for a new set of fiscal indicators. OECD Economics Department Working Papers, 79. Organization for Economic Co-operation and Development. doi: https://doi.org/10.1787/435618162862.
BPS. (2017). Produk Domestik Bruto Indonesia Tahun 1990-2016.
Bussiere, M., & Fratzscher, M. (2006). Towards a new early warning system of financial crises. Journal of International Money and Finance, 25(6), 953-973. doi: https://doi.org/10.1016/j.jimonfin.2006.07.007.
Casu, B., Clare, A., & Saleh, N. (2011). Towards a new model for early warning signals for systemic financial fragility and near crises: An application to OECD countries. MPRA Paper 37043. Munich Personal RePEc Archive. https://mpra.ub.uni-muenchen.de/37043/.
Dawood, M., Horsewood, N., & Strobel, F. (2017). Predicting sovereign debt crises: An early warning system approach. Journal of Financial Stability, 28, 16-28. doi: https://doi.org/10.1016/j.jfs.2016.11.008.
Domar, E. D. (1944). The” burden of the debt” and the national income. The American Economic Review, 34(4), 798-827. http://www.jstor.org/stable/1807397.
Frankel, J. A., & Rose, A. K. (1996). Currency crashes in emerging markets: An empirical treatment. Journal of International Economics, 41(3-4), 351-366. doi: https://doi.org/10.1016/S0022-1996(96)01441-9.
Fuertes, A. M., & Kalotychou, E. (2006). Early warning systems for sovereign debt crises: The role of heterogeneity. Computational Statistics & Data Analysis, 51(2), 1420-1441. doi: https://doi.org/10.1016/j.csda.2006.08.023.
Fuertes, A. M., & Kalotychou, E. (2007). Optimal design of early warning systems for sovereign debt crises. International Journal of Forecasting, 23(1), 85-100. doi: https://doi.org/10.1016/j.ijforecast.2006.07.001.
Hamilton, J. D. (1990). Analysis of time series subject to changes in regime. Journal of Econometrics, 45(1-2), 39-70. doi: https://doi.org/10.1016/0304-4076(90)90093-9.
Hamilton, J. D. (1996). Specification testing in Markov-switching time-series models. Journal of Econometrics, 70(1), 127-157. doi: https://doi.org/10.1016/0304-4076(69)41686-9.
Jedidi, O. (2013). Predicting sovereign debt crises: A panel data approach using composite indices. University of Rennes. http://gdre2013.conference.univ-poitiers.fr/Jedidi.pdf.
Kaminsky, G., Lizondo, S., & Reinhart, C. M. (1998). Leading indicators of currency crises. IMF Staff Papers, 45(1), 1-48. https://www.imf.org/external/pubs/ft/staffp/1998/03-98/kaminsky.htm.
Kementerian Keuangan RI. (2017). Benarkah Indonesia darurat utang?[Infografis]. https://www.kemenkeu.go.id/media/6751/infografis-utang-2017.pdf.
Lewis, J. (2004). Sovereign debt sustainability in Jamaica: A risk management approach. Working Paper. https://www.boj.org.jm/uploads/pdf/papers pamphlets/papers pamphlets sovereign debt sustainability in jamaica - a risk managementapproach.pdf.
Manasse, P., & Roubini, N. (2009). “Rules of thumb” for sovereign debt crises. Journal of International Economics, 78(2), 192-205. doi: https://doi.org/10.1016/j.jinteco.2008.12.002.
Manasse, P., Schimmelpfennig, M. A., & Roubini, N. (2003). Predicting sovereign debt crises. IMF Working Paper WP/03/221. International Monetary Fund. https://www.imf.org/external/pubs/ft/wp/2003/wp03221.pdf.
Mankiw, N. G. (2009). Macroeconomics (7th Edition). Worth Publisher.
OECD. (2015). Survei ekonomi OECD Indonesia, Maret 2015: Ikhtisar. Organisation for Economic Co-operation and Development. https://www.oecd.org/economy/Overview-Indonesia-2015-Bahasa.pdf.
Savona, R., & Vezzoli, M. (2015). Fitting and forecasting sovereign defaults using multiple risk signals. Oxford Bulletin of Economics and Statistics, 77(1), 66-92. doi: https://doi.org/10.1111/obes.12052.
Undang-undang Republik Indonesia No. 17 Tahun 2003 Tentang Keuangan Negara.
Vlaar, P. J. (2000). Early warning systems for currency crises. BIS Conference Papers, 8, 253-274. https://www.bis.org/publ/confer08m.pdf.