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Inflation and Structural Change in 50 Developing Countries

Author

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  • Augustine Arize
  • John Malindretos
  • Kiseok Nam

Abstract

This study provides evidence on whether the inflation rate is stationary or nonstationary using quarterly inflation rate data from 50 developing countries. As Johansen [Johansen, Soren. “Testing Weak Exogeneity and Order of Cointegration in UK Money Demand Data,” Journal of Policy Modeling, 14, 3, June 1992, pp. 313–334] put it, “some time series such as the log of prices (P), have the property that even the inflation rate ΔP is nonstationary, whereas the second difference Δ 2 P is stationarity.” Results from fractional integration analyses provide evidence of long memory and confirm that the nonstationarity threshold of d 3 0.5 is satisfied in the majority of the cases. Results from recursive analyses indicate that, despite the finding that structural changes influence the behavior of the estimated integration parameters, evidence of long memory and nonstationarity can be found in each subsample as well as the full sample data. Copyright International Atlantic Economic Society 2005

Suggested Citation

  • Augustine Arize & John Malindretos & Kiseok Nam, 2005. "Inflation and Structural Change in 50 Developing Countries," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 33(4), pages 461-471, December.
    • Handle: RePEc:kap:atlecj:v:33:y:2005:i:4:p:461-471
    DOI: 10.1007/s11293-005-2877-8
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    Cited by:

    1. Paul Alagidede & Simeon Coleman & Juan Carlos Cuestas, 2010. "Persistence of Inflationary shocks: Implications for West African Monetary Union Membership," Working Papers 2010020, The University of Sheffield, Department of Economics, revised Nov 2010.
    2. 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.
    3. 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.
    4. Georgios P. Kouretas & Mark E. Wohar, 2012. "The dynamics of inflation: a study of a large number of countries," Applied Economics, Taylor & Francis Journals, vol. 44(16), pages 2001-2026, June.
    5. Luis A. Gil-Alana & Andrea Mervar & James E. Payne, 2017. "The stationarity of inflation in Croatia: anti-inflation stabilization program and the change in persistence," Economic Change and Restructuring, Springer, vol. 50(1), pages 45-58, February.
    6. Arize, Augustine C. & Malindretos, John, 2012. "Nonstationarity and nonlinearity in inflation rate: Some further evidence," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 224-234.
    7. Narayan, Paresh Kumar, 2014. "Response of inflation to shocks: New evidence from Sub-Saharan African countries," Economic Modelling, Elsevier, vol. 36(C), pages 378-382.
    8. Narayan, Paresh Kumar & Popp, Stephan, 2011. "An application of a new seasonal unit root test to inflation," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 707-716, October.
    9. Alagidede, Paul & Coleman, Simeon & Cuestas, Juan Carlos, 2012. "Inflationary shocks and common economic trends: Implications for West African monetary union membership," Journal of Policy Modeling, Elsevier, vol. 34(3), pages 460-475.
    10. Chen, Shyh-Wei & Hsu, Chi-Sheng, 2016. "Threshold, smooth transition and mean reversion in inflation: New evidence from European countries," Economic Modelling, Elsevier, vol. 53(C), pages 23-36.
    11. Coleman, Simeon, 2010. "Inflation persistence in the Franc zone: Evidence from disaggregated prices," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 426-442, March.
    12. 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.
    13. Ventosa-Santaulária, Daniel & Gómez-Zaldívar, Manuel, 2009. "Broken mean stationarity and the validity of the Dickey-Fuller test: the case of controlled inflation," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 29(1), May.

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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