2014
DOI: 10.1111/roiw.12144
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Global Inequality; Levels and Trends, 1993–2005: How Sensitive are These to the Choice of PPPs and Real Income Measures?

Abstract: Increasing global interaction between economies over the last few decades has led to growing interest on the implications of globalization. Of particular interest has been the distributional impact of globalization and whether this has been equity enhancing. Contributing to this debate, Chotikapanich et al. have previously estimated global and regional inequalities for 1993 and 2000. The current paper presents estimates of global inequality for 2005, making use of purchasing power parity (PPP) data from the 20… Show more

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Cited by 14 publications
(7 citation statements)
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“…For example, Warner et al. (, p S283) note that ‘A clear definition of global or world inequality is necessary since different studies, with varying objectives, have used a number of different concepts and measures’. The measurement of some of the features described in the Stiglitz et al.…”
Section: Measurement Challengesmentioning
confidence: 99%
“…For example, Warner et al. (, p S283) note that ‘A clear definition of global or world inequality is necessary since different studies, with varying objectives, have used a number of different concepts and measures’. The measurement of some of the features described in the Stiglitz et al.…”
Section: Measurement Challengesmentioning
confidence: 99%
“…We first present the results for the global income distribution and inequality taken from Warner et al (2013). In that study the data used for country per capita income were the GDP per capita in PPP terms, obtained (2013) is that we use the country survey monthly mean income reported by the World Bank on the PovcalNet site as country per capita income.…”
Section: Global Income Distributions: Levels and Trendsmentioning
confidence: 99%
“…The two limiting cases of this family of inequality measures are obtained when the parameter is set to 1 and 0 (hereinafter T 1 and T 0 ), corresponding to the Theil entropy index and the mean log deviation (MLD), respectively. These two measures have been widely used to investigate the evolution of income inequality (see, e.g., Bourguignon and Morrisson, ; Chotikapanich et al ., ; Jorda et al ., ; Warner et al ., ). The Theil entropy index treats equally differences in all parts of the distribution, while the MLD is more sensitive to changes at the bottom tail.…”
Section: Introductionmentioning
confidence: 97%