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Forecasting inflation in Asian economies

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  • Liew, Freddy

Abstract

This paper surveys the recent literature on inflation forecasting and conducts an extensive empirical analysis on forecasting inflation in Singapore, Japan, South Korea and Hong Kong paying particular attention to whether the inflation-markup theory can help to forecast inflation. We first review the relative performance of different predictors in forecasting h-quarter ahead inflation using single equations. These models include the autoregressive model and bivariate Philips curve models. The predictors are selected from business activity, financial activity, trade activity, labour market, interest rate market, money market, exchange rate market and global commodity market variables. We then evaluate a vector autoregressive inflation-markup model against the single equation models to understand whether there is any gain in forecasting using the inflation-markup theory. The paper subsequently analyses the robustness of these results by examining different forecasting procedures in the presence of structural breaks. Empirical results suggest that inflation in Singapore, Hong Kong and South Korea is best predicted by financial and business activity variables. For Japan, global commodity variables provide the most predictive content for inflation. In general, monetary variables tend to perform poorly. These results hold even when structural break is taken into consideration. The vector autoregressive inflation-markup model does improve on single equation models as forecasting horizon increases and these gains are found to be significant for Japan and Korea.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 36781.

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Date of creation: 01 Jan 2012
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Handle: RePEc:pra:mprapa:36781

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Keywords: Inflation; Markup; Forecasting; Asia; Structural Break;

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  1. James H. Stock & Mark W. Watson, 1999. "Forecasting Inflation," NBER Working Papers 7023, National Bureau of Economic Research, Inc.
  2. Pesaran, M. Hashem & Timmermann, Allan, 2004. "How costly is it to ignore breaks when forecasting the direction of a time series?," International Journal of Forecasting, Elsevier, vol. 20(3), pages 411-425.
  3. LeBlanc, Michael & Chinn, Menzie David, 2004. "Do High Oil Prices Presage Inflation? The Evidence from G-5 Countries," Santa Cruz Department of Economics, Working Paper Series qt4wt4m7hg, Department of Economics, UC Santa Cruz.
  4. James H. Stock & Mark W. Watson, 2001. "Forecasting Output and Inflation: The Role of Asset Prices," NBER Working Papers 8180, National Bureau of Economic Research, Inc.
  5. Friedman, Milton, 1977. "Nobel Lecture: Inflation and Unemployment," Journal of Political Economy, University of Chicago Press, vol. 85(3), pages 451-72, June.
  6. Pesaran, M Hashem & Pettenuzzo, Davide & Timmermann, Allan G, 2004. "Forecasting Time Series Subject to Multiple Structural Breaks," CEPR Discussion Papers 4636, C.E.P.R. Discussion Papers.
  7. David Romer, 1991. "Openness and inflation: theory and evidence," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
  8. Stock, James H. & Watson, Mark W., 2006. "Forecasting with Many Predictors," Handbook of Economic Forecasting, Elsevier.
  9. Pesaran, M. Hashem & Pick, Andreas, 2011. "Forecast Combination Across Estimation Windows," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 307-318.
  10. Takatoshi Ito & Kiyotaka Sato, 2006. "Exchange Rate Changes and Inflation in Post-Crisis Asian Economies: VAR Analysis of the Exchange Rate Pass-Through," Discussion papers 06018, Research Institute of Economy, Trade and Industry (RIETI).
  11. David Hendry & Michael P. Clements, 2001. "Pooling of Forecasts," Economics Papers 2002-W9, Economics Group, Nuffield College, University of Oxford.
  12. Fama, Eugene F, 1981. "Stock Returns, Real Activity, Inflation, and Money," American Economic Review, American Economic Association, vol. 71(4), pages 545-65, September.
  13. Antonello D'Agostino & Paolo Surico, 2009. "Does Global Liquidity Help to Forecast U.S. Inflation?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2-3), pages 479-489, 03.
  14. Marcellino, Massimiliano & Stock, James H & Watson, Mark W, 2005. "A Comparison of Direct and Iterated Multistep AR Methods for Forecasting Macroeconomic Time Series," CEPR Discussion Papers 4976, C.E.P.R. Discussion Papers.
  15. Gordon de Brouwer & Neil R. Ericsson, 1995. "Modelling Inflation in Australia," RBA Research Discussion Papers rdp9510, Reserve Bank of Australia.
  16. Banerjee, Anindya & Russell, Bill, 2005. "Inflation and measures of the markup," Journal of Macroeconomics, Elsevier, vol. 27(2), pages 289-306, June.
  17. Hendry, David F. & Hubrich, Kirstin, 2011. "Combining Disaggregate Forecasts or Combining Disaggregate Information to Forecast an Aggregate," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 216-227.
  18. Pesaran, Hashem & Timmermann, Allan, 1999. "Model Instability and Choice of Observation Window," University of California at San Diego, Economics Working Paper Series qt8zx626k6, Department of Economics, UC San Diego.
  19. Goodhart, Charles & Hofmann, Boris, 2000. "Do Asset Prices Help to Predict Consumer Price Inflation?," Manchester School, University of Manchester, vol. 68(0), pages 122-40, Supplemen.
  20. Bekaert, Geert & Engstrom, Eric, 2010. "Inflation and the stock market: Understanding the "Fed Model"," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 278-294, April.
  21. Soyoung Kim & Yung Chul Park, 2006. "Inflation targeting in Korea: a model of success?," BIS Papers chapters, in: Bank for International Settlements (ed.), Monetary policy in Asia: approaches and implementation, volume 31, pages 140-164 Bank for International Settlements.
  22. Anindya Banerjee & Bill Russell, 2006. "A markup model for forecasting inflation for the euro area," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(7), pages 495-511.
  23. Toshitaka Sekine, 2001. "Modeling and Forecasting Inflation in Japan," IMF Working Papers 01/82, International Monetary Fund.
  24. Julio J. Rotemberg & Michael Woodford, 1991. "Markups and the Business Cycle," NBER Chapters, in: NBER Macroeconomics Annual 1991, Volume 6, pages 63-140 National Bureau of Economic Research, Inc.
  25. Polk, Christopher & Thompson, Samuel & Vuolteenaho, Tuomo, 2006. "Cross-sectional forecasts of the equity premium," Journal of Financial Economics, Elsevier, vol. 81(1), pages 101-141, July.
  26. Gary Koop & Simon M. Potter, 2007. "Estimation and Forecasting in Models with Multiple Breaks," Review of Economic Studies, Oxford University Press, vol. 74(3), pages 763-789.
  27. Francis X. Diebold & Peter Pauly, 1987. "The use of prior information in forecast combination," Special Studies Papers 218, Board of Governors of the Federal Reserve System (U.S.).
  28. Nir Klein, 2011. "South Africa," IMF Working Papers 11/204, International Monetary Fund.
  29. Katharine S. Neiss, 2001. "The markup and inflation: evidence in OECD countries," Canadian Journal of Economics, Canadian Economics Association, vol. 34(2), pages 570-587, May.
  30. Arratibel, Olga & Kamps, Christophe & Leiner-Killinger, Nadine, 2009. "Inflation forecasting in the new EU Member States," Working Paper Series 1015, European Central Bank.
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