A striking feature of inflation in developing countries is the high variability from one period to another. This feature would seem to make forecasting of the inflation rate a difficult task. This article applies three different forecasting techniques to predict the monthly rate of inflation in India over the period June, 1971 to May, 1980: The three methods used include the more conventional regression method and the newer time‐series and combined regression‐time‐series methods. A subsidiary objective is to examine the empirical applicability of the monetarist model of inflation in a developing economy. It is found that the combined regression‐time‐series model and the regression model are good predictors of the monthly rate of inflation in India. The results also indicate that the monetarist model performs well in predicting the monthly inflation rate in a regression framework.
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1 April 1986
Review Article|
April 01 1986
Models and Forecasts of Inflation in a Developing Economy
A.K.M. Shamsul Alam;
A.K.M. Shamsul Alam
University of Lethbridge, Alberta, Canada
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Shyam J. Kamath
Shyam J. Kamath
California State University, Hayward
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Publisher: Emerald Publishing
Online ISSN: 1758-7387
Print ISSN: 0144-3585
© MCB UP Limited
1986
Journal of Economic Studies (1986) 13 (4): 3–29.
Citation
Shamsul Alam A, Kamath SJ (1986), "Models and Forecasts of Inflation in a Developing Economy". Journal of Economic Studies, Vol. 13 No. 4 pp. 3–29, doi: https://doi.org/10.1108/eb002630
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