IDEAS home Printed from https://ideas.repec.org/a/idn/journl/v28y2025i3cp367-388.html

Testing Fractional Inflation Persistence in the West African Monetary Zone

Author

Listed:
  • Afees A. Salisu

    (Centre for Econometrics and Applied Research, Ibadan, Nigeria)

  • Nuruddeen Usman

    (Bank of England, United Kingdom)

  • Godday UWAWUNKONYE Ebuh

    (Central Bank of Nigeria)

Abstract

Understanding inflation persistence is of utmost significance for monetary policymakers in an era of heightened global economic interdependence and increased susceptibility to external shocks. Thus, this study examines the dynamics of inflation within the West African Monetary Zone (WAMZ), employing both conventional and innovative econometric methods, notably Fractional integration and Fractionally Cointegrated Vector AutoRegressive (FCVAR) models. Our analysis reveals a compelling paradox in the persistence of inflation. Conventional methodologies suggest a robust inertia with high persistence levels nearing unity. Conversely, Fractional Integration paints a more intricate portrait, indicating a dynamic, less persistent behavior with persistence values notably below 0.5. Crucially, our findings indicate fractional integration, underscoring the fractional aspect of inflation persistence, a facet effectively captured by the FCVAR model. These insights bear profound implications for policymaking. Acknowledging the fractional nature of inflation persistence requires a nimble and adaptable policy approach. The policy must address short-term inflationary pressures while recognizing the enduring legacy of past shocks. This nuanced perspective enables policymakers to devise resilient and effective policies, adeptly navigating the multifaceted terrain of inflation dynamics, thereby fostering both short-term stability and long-term economic resilience in the WAMZ region.

Suggested Citation

  • Afees A. Salisu & Nuruddeen Usman & Godday UWAWUNKONYE Ebuh, 2025. "Testing Fractional Inflation Persistence in the West African Monetary Zone," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 28(3), pages 367-388, October.
  • Handle: RePEc:idn:journl:v:28:y:2025:i:3c:p:367-388
    DOI: https://doi.org/10.59091/2460-9196.1952
    as

    Download full text from publisher

    File URL: https://bulletin.bmeb-bi.org/cgi/viewcontent.cgi?article=1952&context=bmeb
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.59091/2460-9196.1952?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
    ---><---

    References listed on IDEAS

    as
    1. Afees A. Salisu & Kazeem O. Isah & Idris Ademuyiwa, 2017. "Testing for asymmetries in the predictive model for oil price-inflation nexus," Economics Bulletin, AccessEcon, vol. 37(3), pages 1797-1804.
    2. Andrew T. Levin & Jeremy M. Piger, 2003. "Is inflation persistence intrinsic in industrial economies?," Working Papers 2002-023, Federal Reserve Bank of St. Louis.
    3. Sbordone, Argia M., 2007. "Inflation persistence: Alternative interpretations and policy implications," Journal of Monetary Economics, Elsevier, vol. 54(5), pages 1311-1339, July.
    4. George J. Bratsiotis & Jakob Madsen & Christopher Martin, 2015. "Inflation Targeting and Inflation Persistence," Economic and Political Studies, Taylor & Francis Journals, vol. 3(1), pages 3-17, January.
    5. Cuestas, Juan Carlos & Harrison, Barry, 2010. "Inflation persistence and nonlinearities in Central and Eastern European countries," Economics Letters, Elsevier, vol. 106(2), pages 81-83, February.
    6. Gerard O'Reilly & Karl Whelan, 2005. "Has Euro-Area Inflation Persistence Changed Over Time?," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 709-720, November.
    7. Narayan, Paresh Kumar & Liu, Ruipeng, 2015. "A unit root model for trending time-series energy variables," Energy Economics, Elsevier, vol. 50(C), pages 391-402.
    8. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2015. "Does data frequency matter for the impact of forward premium on spot exchange rate?," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 45-53.
    9. Jeffrey C. Fuhrer, 2011. "The role of expectations in U. S. inflation dynamics," Working Papers 11-11, Federal Reserve Bank of Boston.
    10. Giorgio Canarella & Stephen M. Miller, 2016. "Inflation Persistence and Structural Breaks: The Experience of Inflation Targeting Countries and the US," Working papers 2016-21, University of Connecticut, Department of Economics.
    11. Afees A. Salisu & Umar B. Ndako & Tirimisiyu F. Oloko & Lateef O. Akanni, 2016. "Unit root modeling for trending stock market series," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 16(2), pages 82-91, June.
    12. Giorgio Canarella & Stephen M Miller, 2017. "Inflation Persistence Before and After Inflation Targeting: A Fractional Integration Approach," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(1), pages 78-103, January.
    13. Lin, Shu & Ye, Haichun, 2009. "Does inflation targeting make a difference in developing countries?," Journal of Development Economics, Elsevier, vol. 89(1), pages 118-123, May.
    14. Gerlach, Stefan & Tillmann, Peter, 2012. "Inflation targeting and inflation persistence in Asia–Pacific," Journal of Asian Economics, Elsevier, vol. 23(4), pages 360-373.
    15. Luis Alberiko Gil-Alana & Carlos Barros & Joao Ricardo Faria, 2014. "Inflation in Mozambique: empirical facts based on persistence, seasonality and breaks," Applied Economics, Taylor & Francis Journals, vol. 46(21), pages 2545-2555, July.
    16. Salisu, Afees A. & Ademuyiwa, Idris & Isah, Kazeem O., 2018. "Revisiting the forecasting accuracy of Phillips curve: The role of oil price," Energy Economics, Elsevier, vol. 70(C), pages 334-356.
    17. Narayan, Paresh Kumar & Liu, Ruipeng & Westerlund, Joakim, 2016. "A GARCH model for testing market efficiency," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 121-138.
    18. Tule, Moses K. & Salisu, Afees A. & Ebuh, Godday U., 2020. "A test for inflation persistence in Nigeria using fractional integration & fractional cointegration techniques," Economic Modelling, Elsevier, vol. 87(C), pages 225-237.
    19. Antonakakis, Nikolaos & Cunado, Juncal & Gil-Alana, Luis A. & Gupta, Rangan, 2016. "Is inflation persistence different in reality?," Economics Letters, Elsevier, vol. 148(C), pages 55-58.
    20. Kanellopoulos, Nikolaos C. & Koutroulis, Aristotelis G., 2016. "Non-linearities in euro area inflation persistence," Economic Modelling, Elsevier, vol. 59(C), pages 116-123.
    21. Pivetta, Frederic & Reis, Ricardo, 2007. "The persistence of inflation in the United States," Journal of Economic Dynamics and Control, Elsevier, vol. 31(4), pages 1326-1358, April.
    22. Godday Uwawunkonye Ebuh & Afees Salisu & Victor Oboh & Nuruddeen Usman, 2023. "A test for the contributions of urban and rural inflation to inflation persistence in Nigeria," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 16(2), pages 222-246, May.
    23. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Carlos Poza, 2022. "Inflation in the G7 countries: persistence and structural breaks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(3), pages 493-506, July.
    24. Bhardwaj, Geetesh & Swanson, Norman R., 2006. "An empirical investigation of the usefulness of ARFIMA models for predicting macroeconomic and financial time series," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 539-578.
    25. Canarella, Giorgio & Miller, Stephen M., 2017. "Inflation targeting and inflation persistence: New evidence from fractional integration and cointegration," Journal of Economics and Business, Elsevier, vol. 92(C), pages 45-62.
    26. Ahmad, Yamin S. & Staveley-O’Carroll, Olena M., 2017. "Exploring international differences in inflation dynamics," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 115-135.
    27. Carl E. Walsh, 2009. "Inflation Targeting: What Have We Learned?," International Finance, Wiley Blackwell, vol. 12(2), pages 195-233, August.
    28. Meller, Barbara & Nautz, Dieter, 2012. "Inflation persistence in the Euro area before and after the European Monetary Union," Economic Modelling, Elsevier, vol. 29(4), pages 1170-1176.
    29. Fuhrer, Jeffrey C., 2010. "Inflation Persistence," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 9, pages 423-486, Elsevier.
    30. Giorgio Canarella & Stephen M. Miller, 2017. "Did Okun’s law die after the Great Recession?," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 52(4), pages 216-226, October.
    Full references (including those not matched with items on IDEAS)

    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. Tule, Moses K. & Salisu, Afees A. & Ebuh, Godday U., 2020. "A test for inflation persistence in Nigeria using fractional integration & fractional cointegration techniques," Economic Modelling, Elsevier, vol. 87(C), pages 225-237.
    2. Godday Uwawunkonye Ebuh & Afees Salisu & Victor Oboh & Nuruddeen Usman, 2023. "A test for the contributions of urban and rural inflation to inflation persistence in Nigeria," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 16(2), pages 222-246, May.
    3. Canarella, Giorgio & Miller, Stephen M., 2017. "Inflation targeting and inflation persistence: New evidence from fractional integration and cointegration," Journal of Economics and Business, Elsevier, vol. 92(C), pages 45-62.
    4. Giorgio Canarella & Stephen M. Miller, 2016. "Inflation Targeting: New Evidence from Fractional Integration and Cointegration," Working papers 2016-08, University of Connecticut, Department of Economics.
    5. Oloko, Tirimisiyu F. & Ogbonna, Ahamuefula E. & Adedeji, Abdulfatai A. & Lakhani, Noman, 2021. "Fractional cointegration between gold price and inflation rate: Implication for inflation rate persistence," Resources Policy, Elsevier, vol. 74(C).
    6. Petrevski, Goran, 2023. "Macroeconomic Effects of Inflation Targeting: A Survey of the Empirical Literature," EconStor Preprints 271122, ZBW - Leibniz Information Centre for Economics.
    7. Oloko, Tirimisiyu F. & Ogbonna, Ahamuefula E. & Adedeji, Abdulfatai A. & Lakhani, Noman, 2021. "Oil price shocks and inflation rate persistence: A Fractional Cointegration VAR approach," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 259-275.
    8. Afees A. Salisu & Elias A. Udeaja & Silva Opuala-Charles, 2022. "Central Bank Independence and Price Stability Under Alternative Political Regimes: A Global Evidence," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 25(2), pages 155-172, August.
    9. Giorgio Canarella & Stephen M. Miller, 2016. "Inflation Persistence and Structural Breaks: The Experience of Inflation Targeting Countries and the US," Working papers 2016-21, University of Connecticut, Department of Economics.
    10. Salisu, Afees A. & Adekunle, Wasiu & Alimi, Wasiu A. & Emmanuel, Zachariah, 2019. "Predicting exchange rate with commodity prices: New evidence from Westerlund and Narayan (2015) estimator with structural breaks and asymmetries," Resources Policy, Elsevier, vol. 62(C), pages 33-56.
    11. Boubaker Heni & Canarella Giorgio & Gupta Rangan & Miller Stephen M., 2017. "Time-varying persistence of inflation: evidence from a wavelet-based approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(4), pages 1-18, September.
    12. Ibrahim Abdulhamid Danlami, 2019. "Inflation Persistence in the West African Commonwealth Countries," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 5(3), pages 80-89, September.
    13. Salisu, Afees A. & Raheem, Ibrahim D. & Ndako, Umar B., 2020. "The inflation hedging properties of gold, stocks and real estate: A comparative analysis," Resources Policy, Elsevier, vol. 66(C).
    14. Juan José Echavarría S. & Enrique López E. & Martha Misas A., 2013. "La persistencia estadística de la inflación en Colombia," Investigación Conjunta-Joint Research, in: Laura Inés D'Amato & Enrique López Enciso & María Teresa Ramírez Giraldo (ed.), Dinámica inflacionaria, persistencia y formación de precios y salarios, edition 1, chapter 6, pages 139-182, Centro de Estudios Monetarios Latinoamericanos, CEMLA.
    15. Salisu, Afees A. & Ndako, Umar B. & Oloko, Tirimisiyu F., 2019. "Assessing the inflation hedging of gold and palladium in OECD countries," Resources Policy, Elsevier, vol. 62(C), pages 357-377.
    16. Giorgio Canarella & Stephen M Miller, 2017. "Inflation Persistence Before and After Inflation Targeting: A Fractional Integration Approach," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(1), pages 78-103, January.
    17. Simone Elmer & Thomas Maag, 2009. "The Persistence of Inflation in Switzerland," KOF Working papers 09-235, KOF Swiss Economic Institute, ETH Zurich.
    18. Laurent Bilke, 2005. "Break in the Mean and Persistence of Inflation: a Sectoral Analysis of French CPI," Working papers 122, Banque de France.
    19. Tule, Moses K. & Salisu, Afees A. & Chiemeke, Charles C., 2019. "Can agricultural commodity prices predict Nigeria's inflation?," Journal of Commodity Markets, Elsevier, vol. 16(C).
    20. Maarten Dossche & Gerdie Everaert, 2005. "Measuring Inflation Persistence: A Structural Time Series Approach," Computing in Economics and Finance 2005 459, Society for Computational Economics.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • 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
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa

    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:idn:journl:v:28:y:2025:i:3c:p:367-388. 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: Shinta Fitrianti or Jimmy Kathon (email available below). General contact details of provider: https://edirc.repec.org/data/bigovid.html .

    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.