The Measurement of the Inequality of Incomes
By H. Dalton. 1920
you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your personal, non-commercial use. Each copy of any part of a JSTOR transmission must contain the same copyright notice that appears on the screen or printed page of such transmission. JSTOR is a not-for-profit organization founded in 1995 to build trusted digital archives for scholarship. We work with the scholarly community to preserve their work and the materials they rely upon, and to build a common research platform that promotes the discovery and use of these resources. For more information about JSTOR, please contact support@jstor.org.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- John A. Weymark
- Adrian Weller
- Nina Grgic-Hlaca
- M. Ravallion
- Krishna P. Gummadi
- Walter Bossert
- Luca Oneto
- Mário A. T. Figueiredo
Citations in the corpus
- A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices (2018, background): “The transfer principle is sometimes called the Pigou-Dalton principle [11, 31].”
- Inequality: Methods and Tools (1999, unknown): “(Dalton, 1920).”
- Sparse Estimation with Strongly Correlated Variables using Ordered Weighted L1 Regularization (2014, background): “(10) (2)The Pigou-Dalton transfer, also known as a Robin Hood transfer, is used in the study of measures of economic inequality [9], [16].”
- Space and the Measurement of Income Segregation (2007, unknown): “It is well known that the dissimilarity index does not always satisfy the Pigou (1912) – Dalton (1920) “principles of transfers.” In the case of neighborhood income segregation, this principle implies that a transfer of income from a neighborhood with a higher per capita income to one with a lower p”
- DATA MINING TECHNIQUES (2003, methodology): “There are a number of ways to define message length, such as information gain [63], information gain ratio [64], Gini index [30], etc.”
- Size Does Matter: How Varying Group Sizes in a Sample Affect the Most Common Measures of Group Diversity (2009, background): “Unfortunately, however, the most common measures used to operationalize diversity—that is, the standard deviation, MED, coefficient of variation, and the respective indexes recommended by Gini (1921), Blau (1977), and Teachman (1980)—do not correct for variations in group size.”
- A Nonparametric Framework for Comparing Trends and Gaps Across Tests (2009, background): “The index 2AUC is widely known as the Gini coefficient (Gini, 1921).”
- Why Horizontal Inequalities Matter: Some Implications for Measurement. (2005, methodology): “…while the Gini compares each group with every other group.12 Thus, the group Theil (GTHEIL: Appendix, Equation B3) represents a reasonable alternative to the group Gini in measuring group inequality; d. Utility based indices, including Dalton’s and Atkinson’s index (Dalton, 1920; Atkinson, 1970).”
- Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making (2018, background): “Pigou-Dalton transfer principle [Pigou, 1912; Dalton, 1920]: Transferring benefit from a high-benefit to a low-benefit individual must increase social welfare, that is, for any 5 That is, for every vector b , the set of vectors weakly better than b (i.e. { b (cid:48) : b (cid:48) (cid:23) b } ) and…”
- INEQUALITY, REDISTRIBUTION, AND RENT-SEEKING (2004, unknown): “See Pigou (1912), Dalton (1920), and Sen (1973).”