A simple way to calculate the Gini coefficient for grouped as well as ungrouped data

Applied Economics Letters

Volumn 10, Issue 8, 2003, Pages 505-509

  Abounoori, Esmaiel ^a   McCloughan, Patrick ^b  

^a UNIVERSITY OF MAZANDARAN   (Iran)

^b Indecon International Economic Consultants   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

INCOME DISTRIBUTION; METHODOLOGY; STATISTICAL ANALYSIS;

EID: 0042315314     PISSN: 13504851     EISSN: None     Source Type: Journal    
DOI: 10.1080/1350485032000100279     Document Type: Article

References (7)

1. Abounoori, E. and McCloughan, P. (2000) Measuring the Gini Coefficient: an empirical assessment of non-parametric and parametric methods, Liverpool Research Papers in Economics, Finance and Accounting No. 0006.
2. Cowell, F. A. (1977) Measuring Inequality, Phillip Allan, Oxford.
3. Lorenz, M. C. (1905) Methods of measuring the concentration of wealth, Publication of American Statistical Association, 9, 209-19.
4. Milanovic, B. (1994) The Gini-type functions: an alternative derivation, Bulletin of Economic Research, 46, 81-90.
5. Milanovic, B. (1997) A simple way to calculate the Gini Coefficient, and some implications, Economic Letters, 56, 45-49.
6. Pyatt, G., Chen, C. N. and Fei, J. (1980) The distribution of income by factor components, Quarterly Journal of Economics, 95, 451-73.
7. Wan, G. H. (1999) An empirical assessment of alternative functional forms of the Lorenz curve, Applied Economic Letters, 6, 597-99.