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January 1, 2007Open Access

Part 1 : Chapter 3 - Estimation of Distributed Weight Matrix for Common Commodity Classification and its Transformation

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Key Points

The aim is to estimate distributed weight matrices for the transformation of commodity classifications.
Utilized UN COMTRADE database for commodity classification data.
Developed a method considering distributed structures based on correspondence tables.
Estimated matrices using transaction values for pre-and post-revision classifications.
Provided a refined estimation approach compared to the UN's rough estimation method.
Demonstrated improved accuracy in reflecting relationships between commodity groups.
Highlighted variations in transaction values based on reporting countries and import/export categories.

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Implication

This analysis estimates the weight matrix for transforming commodity classifications, suggesting improved accuracy in data reporting.

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Cite This Study

Yosuke Noda (2007) studied this question.

synapsesocial.com/papers/69cf58cb5a333a82146099b3 https://doi.org/10.20561/00044802

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