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Forecasting Inflation in Chile Using State-Space and Regime-Switching Models

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  • Mr. Francisco d Nadal De Simone

Abstract

The paper estimates two time-varying parameter models of Chilean inflation: a Phillips curve model and a small open economy model. Their out-of-sample forecasts are compared with those of simple Box-Jenkins models. The main findings are; forecasts that include the pre-announced inflation target as a regressor are relatively better; the Phillips curve model outperforms the small open economy model in out-of-sample forecasts; and although Box-Jenkins models outperform the two models for short-term out-of-sample forecasts, their superiority deteriorates in longer forecasts. Adding a Markov-switching process to the models does not explain much of the conditional variance of the forecast errors.

Suggested Citation

  • Mr. Francisco d Nadal De Simone, 2000. "Forecasting Inflation in Chile Using State-Space and Regime-Switching Models," IMF Working Papers 2000/162, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2000/162
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    Citations

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    Cited by:

    1. Mr. Christian A Johnson, 2013. "Potential Output and Output Gap in Central America, Panama and Dominican Republic," IMF Working Papers 2013/145, International Monetary Fund.
    2. Khan, Abdul Aleem & Ahmed, Qazi Masood & Hyder, Kalim, 2007. "Determinants oF Recent Inflation in Pakistan," MPRA Paper 16254, University Library of Munich, Germany, revised 2007.
    3. Javed Farhan & Ghim Ping Ong, 2018. "Forecasting seasonal container throughput at international ports using SARIMA models," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(1), pages 131-148, March.
    4. Dejene Mamo Bekana, 2016. "What Causes Inflation in a Post Communist Economy? Evidence from Ethiopia," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 19(61), pages 3-46, September.
    5. El-Shagi, Makram, 2011. "Inflation expectations: Does the market beat econometric forecasts?," The North American Journal of Economics and Finance, Elsevier, vol. 22(3), pages 298-319.
    6. A. Ozlem Onder, 2009. "The stability of the Turkish Phillips curve and alternative regime shifting models," Applied Economics, Taylor & Francis Journals, vol. 41(20), pages 2597-2604.
    7. Ilker Domac, 2003. "Explaining and Forecasting Inflation in Turkey," Working Papers 0306, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    8. Jeannine Bailliu & Daniel Garcés & Mark Kruger & Miguel Messmacher, 2003. "Explaining and Forecasting Inflation in Emerging Markets: The Case of Mexico," Staff Working Papers 03-17, Bank of Canada.
    9. Francisco De A. Nadal‐De Simone, 2001. "Inflation Targeters In Practice: A Lucky Lot?," Contemporary Economic Policy, Western Economic Association International, vol. 19(3), pages 239-253, July.
    10. International Monetary Fund, 2005. "Three Attempts at Inflation Forecasting in Pakistan," IMF Working Papers 2005/105, International Monetary Fund.
    11. Jalil, Abdul & Tariq, Rabbia & Bibi, Nazia, 2014. "Fiscal deficit and inflation: New evidences from Pakistan using a bounds testing approach," Economic Modelling, Elsevier, vol. 37(C), pages 120-126.
    12. El-Shagi, Makram, 2009. "Inflation Expectations: Does the Market Beat Professional Forecasts?," IWH Discussion Papers 16/2009, Halle Institute for Economic Research (IWH).

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