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This article identifies serious weaknesses in various commonly used methods of measuring “average” growth rates over several time periods. An alternative method is proposed which satisfies two essential criteria: firstly it smoothes the data to remove “exceptional variation” in the time series, and secondly, it incorporates a compounding process which, it is suggested, is an essential requirement of a “correct” average growth rate.
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