[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v126y2023ics0264999323002353.html
   My bibliography  Save this article

A time-varying Phillips curve with global factors: Are global factors important?

Author

Listed:
  • Kabundi, Alain
  • Poon, Aubrey
  • Wu, Ping
Abstract
Increased globalization and trade have integrated the world, but whether they are the underlying drivers of the flattening of the Phillips curve slope is not clear. This problem is further complicated since time-varying parameters are empirically important in most applications as the role of global factors may change over time. This paper investigates empirically the role played by global and domestic factors in driving dynamics in inflation using a panel data comprising of 23 advanced (AEs) and 11 emerging market economies (EMEs), from 1995Q1 to 2018Q1. The results indicate the predominance and increasing importance of global factors in explaining inflation dynamics, especially for EMEs. The Phillips curve is flat for both groups, but it is flatter in AEs. The results are consistent with the theoretical view that increased globalization and trade are underlying factors behind the flattening of the Phillips curve.

Suggested Citation

  • Kabundi, Alain & Poon, Aubrey & Wu, Ping, 2023. "A time-varying Phillips curve with global factors: Are global factors important?," Economic Modelling, Elsevier, vol. 126(C).
    • Handle: RePEc:eee:ecmode:v:126:y:2023:i:c:s0264999323002353
    DOI: 10.1016/j.econmod.2023.106423
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999323002353
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econmod.2023.106423?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Joshua C. C. Chan & Gary Koop & Simon M. Potter, 2016. "A Bounded Model of Time Variation in Trend Inflation, Nairu and the Phillips Curve," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 551-565, April.
    2. Michael T. Kiley, 2015. "Low Inflation in the United States : A Summary of Recent Research," FEDS Notes 2015-11-23, Board of Governors of the Federal Reserve System (U.S.).
    3. Christian Gillitzer & John Simon, 2015. "Inflation Targeting: A Victim of Its Own Success," International Journal of Central Banking, International Journal of Central Banking, vol. 11(4), pages 259-287, September.
    4. Choudhri, Ehsan U. & Hakura, Dalia S., 2006. "Exchange rate pass-through to domestic prices: Does the inflationary environment matter?," Journal of International Money and Finance, Elsevier, vol. 25(4), pages 614-639, June.
    5. Kristin J. Forbes, 2019. "Inflation Dynamics: Dead, Dormant, or Determined Abroad?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 50(2 (Fall)), pages 257-338.
    6. Michael McLeay & Silvana Tenreyro, 2020. "Optimal Inflation and the Identification of the Phillips Curve," NBER Macroeconomics Annual, University of Chicago Press, vol. 34(1), pages 199-255.
    7. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Is the Phillips Curve Alive and Well after All? Inflation Expectations and the Missing Disinflation," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(1), pages 197-232, January.
    8. Simon Gilchrist & Egon Zakrajšek, 2020. "Trade Exposure and the Evolution of Inflation Dynamics," Central Banking, Analysis, and Economic Policies Book Series, in: Gonzalo Castex & Jordi Galí & Diego Saravia (ed.),Changing Inflation Dynamics,Evolving Monetary Policy, edition 1, volume 27, chapter 6, pages 173-226, Central Bank of Chile.
    9. Grant, Angelia L. & Chan, Joshua C.C., 2017. "Reconciling output gaps: Unobserved components model and Hodrick–Prescott filter," Journal of Economic Dynamics and Control, Elsevier, vol. 75(C), pages 114-121.
    10. Taylor, John B., 2000. "Low inflation, pass-through, and the pricing power of firms," European Economic Review, Elsevier, vol. 44(7), pages 1389-1408, June.
    11. Laurence Ball & Sandeep Mazumder, 2011. "Inflation Dynamics and the Great Recession," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 42(1 (Spring), pages 337-405.
    12. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    13. Michele Ca’ Zorzi & Elke Hahn & Marcelo Sánchez, 2007. "Exchange Rate Pass-Through in Emerging Markets," The IUP Journal of Monetary Economics, IUP Publications, vol. 0(4), pages 84-102, November.
    14. Timothy Cogley & Giorgio E. Primiceri & Thomas J. Sargent, 2010. "Inflation-Gap Persistence in the US," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 43-69, January.
    15. Matheson, Troy & Stavrev, Emil, 2013. "The Great Recession and the inflation puzzle," Economics Letters, Elsevier, vol. 120(3), pages 468-472.
    16. Alain Kabundi & Eric Schaling & Modeste Some, 2019. "Estimating a Phillips Curve for South Africa: A Bounded Random-Walk Approach," International Journal of Central Banking, International Journal of Central Banking, vol. 15(2), pages 75-100, June.
    17. Claudio E. V. Borio & Andrew Filardo, 2007. "Globalisation and inflation: New cross-country evidence on the global determinants of domestic inflation," BIS Working Papers 227, Bank for International Settlements.
    18. Eric Schaling & Marco Hoeberichts, 2010. "Why Speed Doesn’t Kill: Learning to Believe in Disinflation," De Economist, Springer, vol. 158(1), pages 23-42, April.
    19. Robert G. King & Alexander L. Wolman, 2013. "Inflation Targeting in a St. Louis Model of the 21st Century," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 543-574.
    20. Laurence M. Ball, 2006. "Has Globalization Changed Inflation?," NBER Working Papers 12687, National Bureau of Economic Research, Inc.
    21. Guillermo A. Calvo & Carmen M. Reinhart, 2000. "Fixing for Your Life," NBER Working Papers 8006, National Bureau of Economic Research, Inc.
    22. Òscar Jordà & Chitra Marti & Fernanda Nechio & Eric Tallman, 2019. "Inflation: Stress-Testing the Phillips Curve," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
    23. Meier, Matthias & Pinto, Eugenio, 2024. "COVID-19 Supply Chain Disruptions," European Economic Review, Elsevier, vol. 162(C).
    24. Gordon H. Hanson & Raymond J. Mataloni & Matthew J. Slaughter, 2005. "Vertical Production Networks in Multinational Firms," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 664-678, November.
    25. James D. Hamilton, 2018. "Why You Should Never Use the Hodrick-Prescott Filter," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 831-843, December.
    26. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
    27. Blanchard, Oliver & Cerutti, Eugenio & SUmmers, Lawrence, 2015. "Inflation and Activity - Two Explorations and Their Monetary Policy Implications," Working Paper Series 15-070, Harvard University, John F. Kennedy School of Government.
    28. Watson, Mark W., 1986. "Univariate detrending methods with stochastic trends," Journal of Monetary Economics, Elsevier, vol. 18(1), pages 49-75, July.
    29. Charles T. Carlstrom & Timothy S. Fuerst, 2008. "Explaining apparent changes in the Phillips curve: the Great Moderation and monetary policy," Economic Commentary, Federal Reserve Bank of Cleveland, issue Feb.
    30. Eric Schaling & Marco Hoeberichts, 2010. "Why Speed Doesn’t Kill: Learning to Believe in Disinflation," Working Papers 164, Economic Research Southern Africa.
    31. John C. Williams, 2006. "Inflation persistence in an era of well-anchored inflation expectations," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue oct13.
    32. Olivier Blanchard, 2016. "The Phillips Curve: Back to the '60s?," American Economic Review, American Economic Association, vol. 106(5), pages 31-34, May.
    33. Enrique Martínez García & Mark A. Wynne, 2010. "The global slack hypothesis," Staff Papers, Federal Reserve Bank of Dallas, issue Sep.
    34. Joseph E. Gagnon & Christopher G. Collins, 2019. "Low Inflation Bends the Phillips Curve," Working Paper Series WP19-6, Peterson Institute for International Economics.
    35. Kabundi, Alain & Mlachila, Montfort, 2019. "The role of monetary policy credibility in explaining the decline in exchange rate pass-through in South Africa," Economic Modelling, Elsevier, vol. 79(C), pages 173-185.
    36. Hooper, Peter & Mishkin, Frederic S. & Sufi, Amir, 2020. "Prospects for inflation in a high pressure economy: Is the Phillips curve dead or is it just hibernating?," Research in Economics, Elsevier, vol. 74(1), pages 26-62.
    37. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. De Simone, Francisco Nadal, 2024. "The transmission of U.S. monetary policy to small open economies," Journal of International Money and Finance, Elsevier, vol. 142(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bańbura, Marta & Bobeica, Elena, 2023. "Does the Phillips curve help to forecast euro area inflation?," International Journal of Forecasting, Elsevier, vol. 39(1), pages 364-390.
    2. Granville, Brigitte & Zeng, Ning, 2019. "Time variation in inflation persistence: New evidence from modelling US inflation," Economic Modelling, Elsevier, vol. 81(C), pages 30-39.
    3. Conti, Antonio M., 2021. "Resurrecting the Phillips Curve in Low-Inflation Times," Economic Modelling, Elsevier, vol. 96(C), pages 172-195.
    4. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Working Papers 22-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    5. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Papers 2202.04146, arXiv.org, revised Oct 2024.
    6. Michael McLeay & Silvana Tenreyro, 2020. "Optimal Inflation and the Identification of the Phillips Curve," NBER Macroeconomics Annual, University of Chicago Press, vol. 34(1), pages 199-255.
    7. Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2022. "A Model of the Fed's View on Inflation," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 686-704, October.
    8. Aguiar-Conraria, Luís & Martins, Manuel M.F. & Soares, Maria Joana, 2023. "The Phillips curve at 65: Time for time and frequency," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    9. Franz Xaver Zobl & Martin Ertl, 2021. "The Condemned Live Longer – New Evidence of the New Keynesian Phillips Curve in Central and Eastern Europe," Open Economies Review, Springer, vol. 32(4), pages 671-699, September.
    10. Combes, Jean-Louis & Lesuisse, Pierre, 2022. "Inflation and unemployment, new insights during the EMU accession," International Economics, Elsevier, vol. 172(C), pages 124-142.
    11. Arai, Natsuki, 2023. "The FOMC’s new individual economic projections and macroeconomic theories," Journal of Banking & Finance, Elsevier, vol. 151(C).
    12. Panovska, Irina & Ramamurthy, Srikanth, 2022. "Decomposing the output gap with inflation learning," Journal of Economic Dynamics and Control, Elsevier, vol. 136(C).
    13. Banerjee, Ryan & Contreras, Juan & Mehrotra, Aaron & Zampolli, Fabrizio, 2024. "Inflation at risk in advanced and emerging market economies," Journal of International Money and Finance, Elsevier, vol. 142(C).
    14. Baxa Jaromír & Plašil Miroslav & Vašíček Bořek, 2017. "Inflation and the steeplechase between economic activity variables: evidence for G7 countries," The B.E. Journal of Macroeconomics, De Gruyter, vol. 17(1), pages 1-42, January.
    15. Pierpaolo Benigno & Gauti B. Eggertsson, 2023. "It’s Baaack: The Surge in Inflation in the 2020s and the Return of the Non-Linear Phillips Curve," NBER Working Papers 31197, National Bureau of Economic Research, Inc.
    16. Philippe Goulet Coulombe, 2021. "The Macroeconomy as a Random Forest," Working Papers 21-05, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    17. Wu, Ping, 2024. "Should I open to forecast? Implications from a multi-country unobserved components model with sparse factor stochastic volatility," International Journal of Forecasting, Elsevier, vol. 40(3), pages 903-917.
    18. Kabundi, Alain & Mlachila, Montfort, 2019. "The role of monetary policy credibility in explaining the decline in exchange rate pass-through in South Africa," Economic Modelling, Elsevier, vol. 79(C), pages 173-185.
    19. Thórarinn G. Pétursson, 2022. "Long‐term inflation expectations and inflation dynamics," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 158-174, January.
    20. Jašová, Martina & Moessner, Richhild & Takáts, Előd, 2020. "Domestic and global output gaps as inflation drivers: What does the Phillips curve tell?," Economic Modelling, Elsevier, vol. 87(C), pages 238-253.

    More about this item

    Keywords

    Trend inflation; Global factors; Non-linear state space model; Multi-country;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • F62 - International Economics - - Economic Impacts of Globalization - - - Macroeconomic Impacts

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecmode:v:126:y:2023:i:c:s0264999323002353. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.