KDI Journal of Economic Policy

  • 제42권2호
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  • Pages.57-84
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  • 2020
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  • 2586-2995(pISSN)
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  • 2586-4130(eISSN)
한국개발연구원 (Korea Development Institute)
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International Inflation Synchronization and Implications

  • 투고 : 2020.05.28
  • 발행 : 2020.05.31
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초록

This study analyzes global inflation synchronization and derives policy implications for the Korean economy. Unlike previous studies that assume a single global inflation factor, this study investigates if inflation in Korea can be explained further by other global inflation factors. Our principal component analysis provides three principal components for global inflation that are linked to the Korea inflation rate - the first component is closely related to OECD inflation, and the second and third components reflect China's inflation. This study empirically demonstrates via in-sample fitting and out-of-sample forecasting that the three principal components of global inflation play a significant role in explaining and predicting Korean inflation in the short-term, while their role is limited in the mid-term. Domestic macroeconomic variables are found to be more important for the mid-term movements of the Korean inflation rate. The empirical results here suggest that the Bank of Korea should focus more on domestic economic conditions than on global inflation when implementing monetary policy because global factors are likely to be already reflected in domestic macro-variables in the mid-term.

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참고문헌

  1. Bank of Korea. 2018. "Money Credit Policy Report." (in Korean)
  2. Borio, Claudio and Andrew Filardo. 2007. "Globalisation and inflation: New cross-country evidence on the global determinants of domestic inflation," BIS Working Paper No. 227.
  3. Cecchetti, Stephen G. et al. 2007. "Understanding the evolving inflation process." US Monetary Policy Forum. Vol. 8.
  4. Christiano, Lawrence J., Martin S. Eichenbaum, and Mathias Trabandt. 2015. "Understanding the great recession," American Economic Journal: Macroeconomics, 7(1): 110-167. https://doi.org/10.1257/mac.20140104
  5. Chon, Sora. 2018. International Inflation Synchronization and the Implications, Policy Study, 2018-07, Korea Development Institute. (in Korean)
  6. Ciccarelli, Matteo and Benoit Mojon. 2010. "Global inflation," The Review of Economics and Statistics, 92(3): 524-535. https://doi.org/10.1162/REST_a_00008
  7. Clark, Todd E. and Kenneth D. West. 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of econometrics, 138(1): 291-311. https://doi.org/10.1016/j.jeconom.2006.05.023
  8. Constancio, Vítor. 2014. "A new phase of the ECB's monetary policy," Speech at the ECB's workshop on non-standard monetary policy measures, Frankfurt Am Main. Vol. 6.
  9. Contessi, Silvio, De Pace Pierangelo, and Li Li. 2014. "An International Perspective on the Recent Behavior of Inflation." Federal Reserve Bank of St. Louis Review, Third Quarter.
  10. Conti, Antonio Maria, Stefano Neri, and Andrea Nobili. 2017. "Low inflation and monetary policy in the euro area," ECB Working Paper No. 2005.
  11. Dinno, Alexis. 2009. "Implementing Horn's parallel analysis for principal component analysis and factor analysis," The Stata Journal, 9(2): 291-298. https://doi.org/10.1177/1536867X0900900207
  12. Dobriban, Edgar and Art B. Owen. 2019. "Deterministic parallel analysis: an improved method for selecting factors and principal components," Journal of the Royal Statistical Society: Series B (Statistical Methodology), 81(1): 163-183. https://doi.org/10.1111/rssb.12301
  13. Hall, Robert E. 2011. "The long slump," American Economic Review, 101(2): 431-469. https://doi.org/10.1257/aer.101.2.431
  14. Horn, John L. 1965. "A rationale and test for the number of factors in factor analysis," Psychometrika, 30(2): 179-185. https://doi.org/10.1007/BF02289447
  15. Kamber, Gunes and Benjamin Wong. 2018. "Global factors and trend inflation," BIS Working Papers No 688.
  16. Kim, Yoon-Young. 2010. "Analysis of monthly dynamic effects of monetary policy using VAR model of mixed cycle data," Economics Research, 58(1). (in Korean)
  17. Lee, Hang-Yong, Dong-Cheol Cho, Jang-Yeol Kim, and Sung-Hoon Cho. 2005. A Study on the Real-Effect of Monetary Policy, KDI Policy Research Series (13), Korea Development Institute. (in Korean)
  18. Melitz, Marc J. and Gianmarco IP Ottaviano. 2008. "Market size, trade, and productivity," The review of economic studies, 75(1): 295-316. https://doi.org/10.1111/j.1467-937X.2007.00463.x
  19. Mikolajun, Irena and David Lodge. 2016. "Advanced economy inflation: the role of global factors," European Central Bank Working Paper.
  20. Mumtaz, Haroon and Paolo Surico. 2012. "Evolving international inflation dynamics: world and country-specific factors," Journal of the European Economic Association, 10(4): 716-734. https://doi.org/10.1111/j.1542-4774.2012.01068.x
  21. O'Connor, Brian P. 2000. "SPSS and SAS programs for determining the number of components using parallel analysis and Velicer's MAP test," Behavior research methods, instruments, & computers, 32(3): 396-402. https://doi.org/10.3758/BF03200807
  22. OECD (https://data.oecd.org/price/inflation-cpi.htm, accessed: 15 October 2018).
  23. Ravn, Morten O. and Harald Uhlig. 2002. "On adjusting the Hodrick-Prescott filter for the frequency of observations," Review of economics and statistics, 84(2): 371-376. https://doi.org/10.1162/003465302317411604
  24. Rogoff, Kenneth. 2003. "Globalization and global disinflation," Economic Review-Federal Reserve Bank of Kansas City, 88(4): 45-80.
  25. Stock, James H. and Mark Watson. 2011. "Dynamic factor models," Oxford handbook on economic forecasting.
  26. The Bank of Korea (https://ecos.bok.or.kr/, accessed: 15 October 2018).
  27. Tibshirani, Robert. 1996. "Regression shrinkage and selection via the lasso," Journal of the Royal Statistical Society, Series B (Methodological):267-288.
  28. World Bank (https://data.worldbank.org/, accessed: October 15, 2018).