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17.11. For example, as described in the country experiences of chapter 8, research conducted in Japan suggests that the frequency of transactions increases exponentially as the value of transaction decreases and that, statistically, a Pareto distribution fits the data well.[1] Compared to using information on transactions from before a threshold increase, that approach to estimating below-threshold transactions offers the advantage of the estimations can be updated periodically with recent data. Further, statisticians are able to choose another statistical approach if the implemented method does not fit the data well.
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Country experience: Netherlands (Chapter 17)
Next: C. Forecasting, back-casting and revising time series
[1] Japan will employ statistical methods starting with the implementation of BPM6 (seechap. 8, paras. 8.25-8.29 of the present Compiler’s Guide) for the full description of Japan’s country experience with its ITRS.