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Structural Breaks and Dynamic Characteristics of Inflation and Growth Rates of Monetary Aggregates

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  • Igor Pelipas

    () (Belarusian Economic Research and Outreach Center (BEROC))

Abstract

The paper addresses the problem of determining the order of integration of inflation and growth rates of monetary aggregates under the multiple structural breaks in dynamics of these variables. Discussing the existent approaches for unit root and structural breaks testing, we propose the modified one where on the first stage the structural break points are determined endogenously by impulse indicator saturation technique and then the matching break points are utilized exogenously in the appropriate Dickey-Fuller unit root test. This approach allows unit root testing for any number of structural breaks. An application of the proposed approach to Belarusian data for 1995-2009 led us to conclusion that the rates of inflation both on the basis of GDP deflator and consumer price index, as well as the growth rates of monetary aggregates M0, M1, M, and M3 are the stationary variables with a changing mean. Consequently, these variables have the order of integration I(0). The determined dates of structural breaks correspond to regime changes in the dynamics of the examined variables and have a clear economic interpretation. The results presented in the paper are useful for econometric modelling of inflation and monetary policy.

Suggested Citation

  • Igor Pelipas, 2011. "Structural Breaks and Dynamic Characteristics of Inflation and Growth Rates of Monetary Aggregates," BEROC Working Paper Series 15, Belarusian Economic Research and Outreach Center (BEROC).
  • Handle: RePEc:bel:wpaper:15
    as

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    File URL: http://eng.beroc.by/webroot/delivery/files/WP15_eng_Pelipas.pdf
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    References listed on IDEAS

    as
    1. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    2. Søren Johansen & Rocco Mosconi & Bent Nielsen, 2000. "Cointegration analysis in the presence of structural breaks in the deterministic trend," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 216-249.
    3. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    4. Neil R. Ericsson & David F. Hendry & Kevin M. Prestwich, 1998. "The Demand for Broad Money in the United Kingdom, 1878–1993," Scandinavian Journal of Economics, Wiley Blackwell, vol. 100(1), pages 289-324, March.
    5. Castle, Jennifer L. & Doornik, Jurgen A. & Hendry, David F., 2012. "Model selection when there are multiple breaks," Journal of Econometrics, Elsevier, vol. 169(2), pages 239-246.
    6. Santos, Carlos, 2008. "Impulse saturation break tests," Economics Letters, Elsevier, vol. 98(2), pages 136-143, February.
    7. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    8. Carlos Santos & David Hendry & Soren Johansen, 2008. "Automatic selection of indicators in a fully saturated regression," Computational Statistics, Springer, vol. 23(2), pages 317-335, April.
    9. Neil R. Ericsson & James G. MacKinnon, 2002. "Distributions of error correction tests for cointegration," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 285-318, June.
    10. Søren Johansen & Rocco Mosconi & Bent Nielsen, 2000. "Cointegration analysis in the presence of structural breaks in the deterministic trend," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 216-249.
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    Cited by:

    1. Igor Pelipas, 2012. "Multiple Structural Breaks and Inflation Persistance in Belarus," BEROC Working Paper Series 21, Belarusian Economic Research and Outreach Center (BEROC).

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    More about this item

    Keywords

    inflation; monetary aggregates; unit root test; structural brakes; impulse indicator saturation;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

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