Estimating the Inequality of Household Incomes: A Statistical Approach to the Creation of a Dense and Consistent Global Data Set

By J. Galbraith, Hyunsub Kum. 2005

283 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/fd1dfb18b9aca4d7e0844a00200cdfd7ba7c6ffe

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Citations in the corpus

The effect of foreign aid on income inequality: Evidence from panel cointegration (2012, background): “These data are fully comparable across space and time (Galbraith and Kum, 2005).”
Tax morale affects tax compliance : evidence from surveys and an artefactual field experiment (2009, methodology): “To measure the variable income inequality, we use the newest available dataset, Estimated Household Income Inequality (EHII), constructed by Galbraith and Kum (2005).11 The GINI coefficients indicate that income inequality is slightly greater in Botswana.”
Capital account liberalization and income inequality (2016, methodology): “Galbraith and Kum (2005) try to produce more consistent and reliable income inequality data.”
Nonlinear dynamics of the finance-inequality nexus in developing countries (2012, methodology): “Second, the models are estimated based on the newly assembled income-equality measure developed by Galbraith and Kum [13] and Solt [23].”
Financial Development and Income Inequality at Different Levels of Institutional Quality (2014, methodology): “The second set of robustness checks involves using an alternative data set of income inequality provided by Galbraith and Kum (2005) under the University of Texas Inequality Project: estimated household income inequality (EHII).”
The impact of redistributive policies on inequality in OECD countries (2012, unknown): “…using such data are genuine or a product of data differences’.5 For example, one major problem in calculating the Gini coefficient is that the unit of analysis sometimes is the entire household, whereas it is the individual elsewhere (Atkinson and Brandolini, 2001; Galbraith and Kum, 2005).”
Recent trends in inequality and poverty in developing countries (2013, methodology): “…Inequality Project is based on UTIP-UNIDO, a global data set that calculates industrial pay-inequality measures for 156 countries from 1963 to 2003, using the between-groups component of a Theil index, measured across industrial categories in the manufacturing sector (Galbraith and Kum, 2005).”
On the Distribution of Education and Democracy (2006, methodology): “12 Due to the criticism ofmeasurement error in theDeininger and Squire (1996) data set on income inequality, we have also tested the robustness of the results with the Estimated Household Income Inequality (EHII) measure computed by Galbraith and Kum (2005).”
On the Distribution of Education and Democracy (2008, methodology): “We have also tested the robustness of the results to alternative measures of democracy suggested by Glaeser et al. (2004) and different measures of the distribution of education computed by Castelló and Doménech (2002).”
Inequality, Democracy, and Institutions: A Critical Review of Recent Research (2010, unknown): “See Galbraith and Kum (2004).”