Who Are the Global Top 1%?

Anand, Sudhir; Segal, Paul

doi:10.1016/j.worlddev.2017.02.001

Cited by 54 publications

(46 citation statements)

References 18 publications

(18 reference statements)

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“…Although many in the global South have moved out of extreme poverty, most are still living on relatively low incomes and are thus vulnerable to falling back into extreme poverty, despite increasingly being categorized as within the middle class (López‐Calva and Ortiz‐Juarez, ). In some contrast, as well as having a growing presence in the top 1 per cent of incomes worldwide (Anand and Segal, ), citizens of developing countries are increasingly prominent in lists of extreme wealth. Their share of people listed on the Forbes World Billionaires List has increased from 16.7 per cent in 2001 to 37.1 per cent in 2016 (see Figure below).…”

Section: St Century Convergence?mentioning

confidence: 99%

From International to Global Development: New Geographies of 21^st Century Development

Horner¹,

Hulme²

2017

Development and Change

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Recent claims of 21st century global convergence and the 'rise of the South' suggest a profound and ongoing redrawing of the global map of development and inequality. This article synthesizes shifting geographies of development across economic, social and environmental dimensions, and considers their implications for the 'where' of development. Some convergence in aggregate development indicators for the global North and South during this century challenge, now more than ever, the North-South binary underlying international development. Yet convergence claims do not adequately capture change in a world where development inequalities are profound. Betweencountry inequalities remain vast, while within-country inequalities are growing in many cases. Particular attention is given here to exploring the implications of such shifting geographies, and what those mean for the spatial nomenclature and reference of development. This article concludes by arguing for the need, now more than ever, to go beyond international development considered as rich North/poor South, and to move towards a more holistic global development -where the global South remains a key, although not exclusive, focus.

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Section: St Century Convergence?mentioning

confidence: 99%

From International to Global Development: New Geographies of 21^st Century Development

Horner¹,

Hulme²

2017

Development and Change

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“…(), and extended by Alvaredo (), who also included applications to Argentina and the USA. Subsequent applications include those by Alvaredo and Londoño Vélez () and Diaz‐Bazan () to Colombia, and by Lakner and Milanovic () and Anand and Segal () to global income inequality. Each of the applications cited uses a Pareto Type I model to describe the upper tail of the income distribution.…”

Section: Introductionmentioning

confidence: 99%

Pareto Models, Top Incomes and Recent Trends in UK Income Inequality

2016

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I determine UK income inequality levels and trends by combining inequality estimates from tax return data (for the 'rich') and household survey data (for the 'non-rich'), taking advantage of the better coverage of top incomes in tax return data (which I demonstrate) and creating income variables in the survey data with the same definitions as in the tax data to enhance comparability. For top income recipients, I estimate inequality and mean income by fitting Pareto models to the tax data, examining specification issues in depth, notably whether to use Pareto I or Pareto II (generalised Pareto) models, and the choice of income threshold above which the Pareto models apply. The preferred specification is a Pareto II model with a threshold set at the 99 th or 95 th percentile (depending on year). Conclusions about aggregate UK inequality trends since the mid-1990s are robust to the way in which tax data are employed. The Gini coefficient for gross individual income rose by around 7% or 8% between 1996/97 and 2007/08, with most of the increase occurring after 2003/04. The corresponding estimate based wholly on the survey data is around -5%.

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“…Alvaredo (2011) extended the approach and used it to correct inequality estimates for Argentina and the US. Other applications include Lakner and Milanovic (2016) and Anand and Segal (2017) to global income inequality, Jenkins (2017) to the UK, and Bukowski and Novokmet (2017) to Poland. Approach C combines inequality estimates for the 'non-rich' households computed in the standard way from survey data with inequality estimates for the 'rich' calculated from tax return information, either non-parametrically or by fitting Pareto models to tax data and deriving parametric inequality estimates.…”

Section: Top-correcting Of Income Distribution Using Combined Househomentioning

confidence: 99%

Reevaluating Distributional Consequences of the Transition to Market Economy in Poland: New Results From Combined Household Survey and Tax Return Data

2019

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Who Are the Global Top 1%?

Cited by 54 publications

References 18 publications

From International to Global Development: New Geographies of 21^st Century Development

From International to Global Development: New Geographies of 21^st Century Development

Pareto Models, Top Incomes and Recent Trends in UK Income Inequality

Reevaluating Distributional Consequences of the Transition to Market Economy in Poland: New Results From Combined Household Survey and Tax Return Data

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Who Are the Global Top 1%?

Cited by 54 publications

References 18 publications

From International to Global Development: New Geographies of 21st Century Development

From International to Global Development: New Geographies of 21st Century Development

Pareto Models, Top Incomes and Recent Trends in UK Income Inequality

Reevaluating Distributional Consequences of the Transition to Market Economy in Poland: New Results From Combined Household Survey and Tax Return Data

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Product

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From International to Global Development: New Geographies of 21^st Century Development

From International to Global Development: New Geographies of 21^st Century Development