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Exploring the Nexus Between Inflation and Globalization Under Inflation Targeting Through the Lens of New Zealand’s Experience

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Abstract

We investigate empirically the inflation dynamics in New Zealand, a small open economy and a pioneer in inflation targeting, under various open-economy Phillips curve specifications. Our forecasting exercise suggests that open-economy Phillips curves under standard measures of global slack do not help forecast domestic inflation, possibly indicating measurement problems with global slack itself. In turn, under a stable inflation target we still find that (i) global inflation and (ii) global inflation and oil prices have information content for headline CPI and core CPI inflation over the 1997:Q3-2015:Q1 period and appear to be reliable proxies for global slack in forecasting inflation.

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  • Ayse Kabukcuoglu & Enrique Martínez García & Mehmet A. Soytas, 2017. "Exploring the Nexus Between Inflation and Globalization Under Inflation Targeting Through the Lens of New Zealand’s Experience," Globalization Institute Working Papers 308, Federal Reserve Bank of Dallas.
    • Handle: RePEc:fip:feddgw:308
    DOI: 10.24149/gwp308
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    1. James H. Stock & Mark W. Watson, 2008. "Phillips curve inflation forecasts," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
    2. Todd Clark & Michael McCracken, 2005. "Evaluating Direct Multistep Forecasts," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 369-404.
    3. Stock, James H. & Watson, Mark W., 1999. "Forecasting inflation," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 293-335, October.
    4. 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, March.
    5. Roberto Duncan & Enrique Martínez García, 2015. "Forecasting local inflation in Open Economies: What Can a NOEM Model Do?," Globalization Institute Working Papers 235, Federal Reserve Bank of Dallas, revised 21 Dec 2022.
    6. Milani, Fabio, 2010. "Global slack and domestic inflation rates: A structural investigation for G-7 countries," Journal of Macroeconomics, Elsevier, vol. 32(4), pages 968-981, December.
    7. Laurence M. Ball, 2006. "Has Globalization Changed Inflation?," NBER Working Papers 12687, National Bureau of Economic Research, Inc.
    8. Grossman, Valerie & Mack, Adrienne & Martínez-García, Enrique, 2014. "A New Database of Global Economic Indicators," Journal of Economic and Social Measurement, IOS Press, issue 3, pages 163-197.
    9. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    10. Stock, James H. & Watson, Mark W., 1999. "Business cycle fluctuations in us macroeconomic time series," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 1, pages 3-64, Elsevier.
    11. Assaf Razin & Alon Binyamini, 2007. "Flattened Inflation-Output Tradeoff and Enhanced Anti-Inflation Policy: Outcome of Globalization?," NBER Working Papers 13280, National Bureau of Economic Research, Inc.
    12. Jane Ihrig & Steven B. Kamin & Deborah Lindner & Jaime Marquez, 2010. "Some Simple Tests of the Globalization and Inflation Hypothesis," International Finance, Wiley Blackwell, vol. 13(3), pages 343-375, December.
    13. Nigel Pain & Isabell Koske & Marte Sollie, 2006. "Globalisation and Inflation in the OECD Economies," OECD Economics Department Working Papers 524, OECD Publishing.
    14. Yun, Tack, 1996. "Nominal price rigidity, money supply endogeneity, and business cycles," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 345-370, April.
    15. Milani, Fabio, 2012. "Has Globalization Transformed U.S. Macroeconomic Dynamics?," Macroeconomic Dynamics, Cambridge University Press, vol. 16(2), pages 204-229, April.
    16. Robert S. Kaplan, 2017. "Assessment of Current Economic Conditions and Implications for Monetary Policy, July, 13, 2017," Speeches and Essays 170, Federal Reserve Bank of Dallas.
    17. 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.
    18. Alon Binyamini & Assaf Razin, 2007. "Flattened Inflation-Output Tradeoff and Enhanced Anti-Inflation Policy as an Equilibrium Outcome of Globalization," Working Papers 232007, Hong Kong Institute for Monetary Research.
    19. Rochelle M. Edge & Refet S. Gurkaynak, 2010. "How Useful Are Estimated DSGE Model Forecasts for Central Bankers?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 41(2 (Fall)), pages 209-259.
    20. Andrew Atkeson & Lee E. Ohanian, 2001. "Are Phillips curves useful for forecasting inflation?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 25(Win), pages 2-11.
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    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • F62 - International Economics - - Economic Impacts of Globalization - - - Macroeconomic Impacts

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