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Q-convergence with interquartile ranges [An article from: Journal of Economic Dynamics and Control]

Q-convergence with interquartile ranges [An article from: Journal of Economic Dynamics and Control]

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Authors: S.j. Kang, M. Lee
Publisher: Elsevier

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Format: Html
Media: Digital



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Product Description
This digital document is a journal article from Journal of Economic Dynamics and Control, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
We introduce a new convergence concept 'Q-convergence' which defines convergence in national incomes as a shrinking interquartile range (IQR) of the national income distribution. Compared with the other convergence definitions in the literature, Q-convergence has the following advantages. First, IQR, which represents dispersion and inequality of the income distribution, is also closely linked to the two-group clustering with the lower and upper quartiles being the 'centers' of the two groups. Second, IQR is equivariant to increasing transformations and thus reconciles better conflicting empirical findings using level or log data. Third, IQR is insensitive to outliers, leading to robust statistical inferences. Panel data are analyzed to find that the absolute income gap between the poor and rich countries has increased in terms of IQR, but the widening gap is rather small and insignificant when compared with the income increase of the poor countries.


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