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Leading Indicators of Growth and Inflation in Turkey

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  • Mr. Daniel Leigh
  • Mr. Marco Rossi

Abstract

Growth and inflation in Turkey have been volatile over the last two decades. It would, therefore, be useful to identify indicators that anticipate economic conditions and inflation. This paper investigates the predictive performance of economic indicators for inflation and real output growth in Turkey. We find that (i) the forecasting ability of individual indicators is unstable; but that (ii) a suitable combination of these unstable forecasts yields a forecast that reliably outperforms that generated by an autoregressive model. We then propose a two-stage combination forecast obtained by taking the median of the top five performing individual forecasts. This two-stage forecast reliably improves on autoregressive benchmarks and outperforms the combination forecast based on all the individual forecasts.

Suggested Citation

  • Mr. Daniel Leigh & Mr. Marco Rossi, 2002. "Leading Indicators of Growth and Inflation in Turkey," IMF Working Papers 2002/231, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2002/231
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    References listed on IDEAS

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    1. Robert J. Gordon, 1997. "The Time-Varying NAIRU and Its Implications for Economic Policy," Journal of Economic Perspectives, American Economic Association, vol. 11(1), pages 11-32, Winter.
    2. West, Kenneth D, 1996. "Asymptotic Inference about Predictive Ability," Econometrica, Econometric Society, vol. 64(5), pages 1067-1084, September.
    3. Kibritçioğlu, Aykut, 2002. "Causes of Inflation in Turkey: A Literature Survey with Special Reference to Theories of Inflation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 43-76.
    4. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    5. Mr. Alejandro Simone, 2001. "In Search of Coincident and Leading Indicators of Economic Activity in Argentina," IMF Working Papers 2001/030, International Monetary Fund.
    6. Ms. Laura Papi & Ms. G. C. Lim, 1997. "An Econometric Analysis of the Determinants of Inflation in Turkey," IMF Working Papers 1997/170, International Monetary Fund.
    7. Douglas Staiger & James H. Stock & Mark W. Watson, 1997. "The NAIRU, Unemployment and Monetary Policy," Journal of Economic Perspectives, American Economic Association, vol. 11(1), pages 33-49, Winter.
    8. Marcellino, Massimiliano & Stock, James H. & Watson, Mark W., 2003. "Macroeconomic forecasting in the Euro area: Country specific versus area-wide information," European Economic Review, Elsevier, vol. 47(1), pages 1-18, February.
    9. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    10. Marcelle Chauvet, 2000. "Leading Indicators of Inflation for Brazil," Working Papers Series 7, Central Bank of Brazil, Research Department.
    11. Okina, Kunio & Shiratsuka, Shigenori, 2002. "Asset Price Bubbles, Price Stability, and Monetary Policy: Japan' s Experience," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 20(3), pages 35-76, October.
    12. Peter Grasmann & Filip Keereman, 2001. "An indicator-based short-term forecast for quarterly GDP in the euro area," European Economy - Economic Papers 2008 - 2015 154, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
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    Cited by:

    1. Mr. Joannes Mongardini & Tahsin Saadi Sedik, 2003. "Estimating Indexes of Coincident and Leading Indicators: An Application to Jordan," IMF Working Papers 2003/170, International Monetary Fund.
    2. Chrigui Zouhair & Boujelbene Younes, 2009. "The Opportunities for Adopting Inflation Targeting in Tunisia: a Cointegration Study and Transmission Channels of Monetary Policy," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 16(3), pages 671-692, October.
    3. 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.
    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. Pradhan, Rudra P. & Arvin, Mak B. & Bahmani, Sahar, 2015. "Causal nexus between economic growth, inflation, and stock market development: The case of OECD countries," Global Finance Journal, Elsevier, vol. 27(C), pages 98-111.
    6. Bilal Raza & Khurram S Mughal, 2022. "Fiscal Determinants of Inflation in Pakistan," SBP Working Paper Series 108, State Bank of Pakistan, Research Department.
    7. Alkan, Berkay, 2021. "Growth and Inflation in Turkey," MPRA Paper 111227, University Library of Munich, Germany.
    8. International Monetary Fund, 2005. "Three Attempts at Inflation Forecasting in Pakistan," IMF Working Papers 2005/105, International Monetary Fund.
    9. 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.

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