Income distribution and inequality measurement: The problem of extreme values
By Frank A. Cowell, Emmanuel Flachaire. 2007
242 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/2454cf8556dbd8ab0bd77085a1c37948d5d85a07
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Nora Lustig
- Gustavo A. Marrero
- S. Higgins
- Emmanuel Flachaire
- Russell Davidson
- James G. MacKinnon
- Jean-Marie Dufour
- Mame Astou Diouf
In Sociology and Political Science
- Nora Lustig
- S. Higgins
- Gustavo A. Marrero
- Emmanuel Flachaire
- Russell Davidson
- Abhijit Banerjee
- Mame Astou Diouf
- Jean-Marie Dufour
Citations in the corpus
- Asymptotic and Bootstrap Inference for Inequality and Poverty Measures (2007, background): “Additional experiments have been undertaken for different inequality measures and different income distributions in Cowell and Flachaire (2004).”
- WEALTH INEQUALITY: A SURVEY (2015, unknown): “GE indices with θ > 2 are likely to be so over-sensitive to extremely high values of w as to limit their practical applicability (Cowell and Flachaire 2007).”
- Pareto Models, Top Incomes, and Recent Trends in UK Income Inequality (2017, unknown): “…by and draws on Frank Cowell’s contributions to the analysis using Pareto models, income data problems, and inequality decomposition (see, inter alia, Cowell 1977, 1980, 1989, 2011, 2013; Cowell et al. 1998; Cowell and Flachaire 2007; Cowell and Kuga 1980; Cowell and Victoria-Feser 1996, 2007).”
- Commitment to Equity Assessment (CEQ): Estimating the Incidence of Social Spending, Subsidies and Taxes Handbook (2013, background): “ Cowell and Flachaire (2007) have instead suggested estimating inequality by using a semi-‐parametric approach whereby inequality is estimated by combining the classic non-‐parametric measurement for most of the distribution with a parametric measurement applied…”
- Inequality Of Opportunity And Growth (2013, background): “Cowell and Flachaire (2007) find that bootstrap tests usually improve numerical performance.”