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Inaccurate approximation in the modelling of hyperinflations

Author

Listed:
  • Peter Moffatt
  • Evens Salies

    (OFCE - Observatoire français des conjonctures économiques (Sciences Po) - Sciences Po - Sciences Po)

Abstract

In time series macroeconometric models, the first difference in the logarithm of a variable is routinely used to represent the rate of change of that variable. It is often overlooked that the assumed approximation is accurate only if the rates of change are small. Models of hyper-inflation are a case in point, since in these models, by definition, changes in price are large. In this letter, Cagan's model is applied to Hungarian hyper-inflation data. It is then demonstrated that use of the approximation in the formation of the price inflation variable is causing an upward bias in the model's key parameter, and therefore an exaggeration of the effect postulated by Cagan.

Suggested Citation

  • Peter Moffatt & Evens Salies, 2006. "Inaccurate approximation in the modelling of hyperinflations," Post-Print hal-03417182, HAL.
  • Handle: RePEc:hal:journl:hal-03417182
    DOI: 10.1007/s11135-005-5078-2
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    Cited by:

    1. is not listed on IDEAS
    2. Hartwell, Christopher A., 2019. "Short waves in Hungary, 1923 and 1946: Persistence, chaos, and (lack of) control," Journal of Economic Behavior & Organization, Elsevier, vol. 163(C), pages 532-550.

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    Keywords

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    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • B16 - Schools of Economic Thought and Methodology - - History of Economic Thought through 1925 - - - Quantitative and Mathematical
    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money

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