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Inequality

 

(University of Texas Inequality Project)

Estimated Household Income Inequality Dataset (EHII) is a global dataset derived from the econometric relationship between UTIP-UNIDO dataset, other conditioning variables, and the World Bank's Deininger & Squire dataset. EHII2 has 3179 observations, while EHII4 has 3126.

  • Land Gini index of concentration

  • Area of land holdings

  • Average size of land holdings

  • Median size for number of land holdings

  • Median size for land area

Measuring Income Inequality Dataset (Deininger & Squire 1996)

Contains data on Gini coefficients, cumulative quintile shares, description on which the Gini coefficients were computed, and the source of the information. There are two data-sets, one containing the high-quality sample and one including all data collected.

National Poverty and Inequality Data by National/Sub-national Level (SEDAC)

This dataset contains consumption-based poverty and inequality measures and related data for sub-national administrative units for several countries in Africa, Asia, Europe and Latin America. Allows the creation of customised datasets for selected countries, administrative levels and poverty and inequality measures:

  • Foster, Greer, Thorbecke poverty measure

  • Generalized Entropy inequality measure

  • Atkinson Index inequality measure

  • Gini coefficients

PovcalNet (World Bank)

PovcalNet allows you to replicate the calculations made by the World Bank's researchers in estimating the extent of absolute poverty in the world, including the $1 a day poverty measure. PovcalNet computes the following variables for selected countries and years:

  • Income Gini coefficient

  • MLD inequality index

  • Poverty headcount

  • Mean monthly per capita income/consumption expenditure

  • Median of monthly per capita income/consumption expenditure

  • Poverty Gap

  • Squared poverty gap

  • Watts' poverty index

Statistics on poverty and distributional and social variables in 21 Latin American and Caribbean countries. All statistics are computed from microdata from main household surveys in these countries.

(University of Texas Inequality Project)

UTIP-UNIDO is a global dataset that calculates the industrial pay-inequality measures for 156 countries from 1963-1999. It has a total of 3194 observations based on UNIDO Industrial Statistics.

World Income Distribution Dataset (Milanovic & Yitzhaki 2001)

Uses national income and expenditure distribution data from 119 countries to decompose total income inequality between individuals in the world, by continent and by region (countries grouped by income level). Uses a Gini decomposition that allows for an exact breakdown (without a residual term) of the overall Gini by recipients.

  • Income (or consumption based) Gini coefficients

  • Gini coefficient computed using Shorrocks & Wan method

  • Income quintile shares

  • Income decile shares

  • Survey income means and medians

  • Income shares of the richest 5%

  • Income shares of the poorest 5%

NOTE:  If you use the World Bank's World Development Indicators (for subscribers only) to compile inequality data be careful. The WDI does not distinguish between income-based and consumption-based Gini coefficients. Thus, you may end up comparing income-based Gini coefficients with consumption-based Gini coefficients. As a result, it is in general advisable to use WIDER's income inequality database (above) which documents which measure, income-based or consumption-based, is used for each observation.

 

 

 

 

 

 

 

   

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