Moffatt, Peter G. and Salies, Evens (2006) Inaccurate approximation in the modelling of hyper-inflations. Quality and Quantity, 40. pp. 1055-1060. ISSN 1573-7845
Full text not available from this repository. (Request a copy)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.
Item Type: | Article |
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Faculty \ School: | Faculty of Social Sciences > School of Economics |
UEA Research Groups: | Faculty of Social Sciences > Research Groups > Behavioural Economics Faculty of Social Sciences > Research Groups > Applied Econometrics And Finance Faculty of Social Sciences > Research Centres > Centre for Behavioural and Experimental Social Sciences |
Depositing User: | Gina Neff |
Date Deposited: | 13 Jan 2011 11:13 |
Last Modified: | 14 Aug 2023 11:30 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/10940 |
DOI: | 10.1007/s11135-005-5078-2 |
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