Can rejections of weak separability be attributed to random measurement errors in the data?
AbstractStandard non-parametric weak separability tests do not account for measurement errors in the data. We propose a method to determine if rejections of weak separability obtained using such tests can be attributed to random measurement errors in the quantity data.
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 99 (2008)
Issue (Month): 1 (April)
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