Inflation and Structural Change in 50 Developing Countries

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 Δ2P is stationarity.” Results from fractional integration analyses provide evidence of long memory and confirm that the nonstationarity threshold of d30.5 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.

[1]  Neil R. Ericsson,et al.  Exogeneity, Cointegration, and Economic Policy Analysis , 1998 .

[2]  Ignacio N. Lobato,et al.  Real and Spurious Long-Memory Properties of Stock-Market Data , 1996 .

[3]  Charles I. Plosser,et al.  Stochastic Trends and Economic Fluctuations , 1987 .

[4]  J. T. Warner,et al.  The Fisher Effect and the Term Structure of Interest Rates: Tests of Cointegration , 1993 .

[5]  David F. Hendry,et al.  Modelling UK inflation, 1875–1991 , 2001 .

[6]  Jan Beran,et al.  On a class of M-estimators for Gaussian long-memory models , 1994 .

[7]  Taufiq Choudhry.  Inflation and rates of return on stocks: evidence from high inflation countries , 2001 .

[8]  J. Malindretos,et al.  Variations in exchange rates and inflation in 82 countries: an empirical investigation , 2004 .

[9]  J. Geweke,et al.  THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS , 1983 .

[10]  K. Lai.  Long-Term Persistence in the Real Interest Rate: Some Evidence of a Fractional Unit Root , 1997 .

[11]  F. Diebold,et al.  Long Memory and Regime Switching , 2000 .

[12]  P. Perron,et al.  The Great Crash, The Oil Price Shock And The Unit Root Hypothesis , 1989 .

[13]  M. Wohar,et al.  Are Tax Effects Important in the Long-Run Fisher Relationship? Evidence from the Municipal Bond Market , 1999 .

[14]  Glenn D. Rudebusch,et al.  On the Power of Dickey-Fuller Tests against Fractional Alternatives , 1991, Business Cycles.

[15]  A. Arize.  A re-examination of the demand for money in small developing economies , 1994 .

[16]  Richard T. Baillie,et al.  Analysing inflation by the fractionally integrated ARFIMA–GARCH model , 1996 .

[17]  Dennis L. Hoffman,et al.  The Long Run Relationship between Nominal Interest Rates and Inflation: The Fisher Equation Revisited , 1996 .

[18]  Rohit S. Deo,et al.  The mean squared error of Geweke and Porter‐Hudak's estimator of the memory parameter of a long‐memory time series , 1998 .

[19]  Martin D. D. Evans,et al.  Do expected shifts in inflation affect estimates of the long-run Fisher relation? , 1995 .

[20]  Y. Tse,et al.  Long memory in interest rate futures markets: A fractional cointegration analysis , 1995 .

[21]  Ying-Wong Cheung,et al.  A Fractional Cointegration Analysis of Purchasing Power Parity , 1993 .

[22]  David F. Hendry,et al.  The Demand for M1 in the U.S.A., 1960–1988 , 1992 .

[23]  J. Stock,et al.  Evidence on Structural Instability in Macroeconomic Time Series Relations , 1994 .

[24]  P. Perron,et al.  Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power , 2001 .

[25]  P. Gregg,et al.  King Charles I , 1981 .

[26]  C. Nelson,et al.  Trends and random walks in macroeconmic time series: Some evidence and implications , 1982 .

[27]  Clive W. J. Granger,et al.  Occasional Structural Breaks and Long Memory , 1999 .

[28]  Y. P. Mehra,et al.  Wage Growth and the Inflation Process: An Empirical Note , 1989 .

[29]  S. Johansen.  Testing Weak Exogeneity and the Order of Cointegration in UK Money Demand Data , 1992 .

[30]  Is monetary policy important for forecasting real growth and inflation , 2005 .

[31]  Vasco J.C.R. de A. Gabriel,et al.  On the Forecasting Ability of ARFIMA Models When Infrequent Breaks Occur , 2004 .

[32]  S. Edwards.  Two Crises: Inflationary Inertia and Credibility , 1998 .

[33]  An empirical note about additive outliers and nonstationarity in Latin-American inflation series , 2004 .

[34]  D. Rapach.  The long-run relationship between inflation and real stock prices , 2002 .

[35]  L. Gil‐Alana.  Unit and fractional roots in the presence of abrupt changes with an application to the brazilian inflation rate , 2005 .

[36]  A. Rose.  Is the Real Interest Rate Stable , 1988 .