Skip to Main content Skip to Navigation
Journal articles

Inaccurate approximation in the modelling of hyperinflations

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.
Document type :
Journal articles
Complete list of metadata

https://hal-sciencespo.archives-ouvertes.fr/hal-03417182
Contributor : Spire Sciences Po Institutional Repository Connect in order to contact the contributor
Submitted on : Friday, November 5, 2021 - 3:30:36 PM
Last modification on : Saturday, November 6, 2021 - 3:54:50 AM

Identifiers

  • HAL Id : hal-03417182, version 1
  • SCIENCESPO : 2441/7165

Collections

Citation

Evens Salies, Peter Moffatt. Inaccurate approximation in the modelling of hyperinflations. Quality and Quantity, Springer Verlag, 2006. ⟨hal-03417182⟩

Share

Metrics

Record views

14