Income distribution and inequality measurement: The problem of extreme values

Journal of Econometrics

Volumn 141, Issue 2, 2007, Pages 1044-1072

  Cowell, Frank A ^a   Flachaire, Emmanuel ^b  

^a LONDON SCHOOL OF ECONOMICS   (United Kingdom)

^b UNIVERSITÉ PARIS 1 PANTHÉON SORBONNE   (France)

Author keywords

Inequality measures; Robustness; Statistical performance

Indexed keywords

DATA STRUCTURES; NUMERICAL METHODS; PARAMETER ESTIMATION; ROBUSTNESS (CONTROL SYSTEMS); STATISTICAL METHODS;

INEQUALITY MEASURES; STATISTICAL PERFORMANCE;

INDUSTRIAL ECONOMICS;

EID: 34848895719     PISSN: 03044076     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jeconom.2007.01.001     Document Type: Article

References (22)

1. Beran R. Prepivoting test statistics: a bootstrap view of asymptotic refinements. Journal of the American Statistical Association 83 403 (1988) 687-697
2. Brachman K., Stich A., and Trede M. Evaluating parametric income distribution models. Allgemeines Statistisches Archiv 80 (1996) 285-298
3. Braulke M. An approximation to the Gini coefficient for population based on sparse information for sub-groups. Journal of Development Economics 2 12 (1983) 75-81
4. Chesher A., and Schluter C. Welfare measurement and measurement error. Review of Economic Studies 69 (2002) 357-378
5. Coles S. An Introduction to Statistical Modeling of Extreme Values (2001), Springer, London
6. Cowell F.A. Sampling variance and decomposable inequality measures. Journal of Econometrics 42 (1989) 27-42
7. Cowell F.A. Measuring Inequality. second ed. (1995), Harvester Wheatsheaf, Hemel Hempstead
8. Cowell F.A., and Victoria-Feser M.-P. Robustness properties of inequality measures. Econometrica 64 (1996) 77-101
9. Cowell F.A., and Victoria-Feser M.-P. Robust Lorenz curves: a semiparametric approach. Journal of Economic Inequality 5 (2007) 21-35
10. Davidson, R., Flachaire, E., 2007. Asymptotic and bootstrap inference for inequality and poverty measures. Journal of Econometrics, in press, doi:10.1016/j.jeconom.2007.01.009.
11. Gilleland, E., Katz, R.W., 2005. Extremes toolkit: weather and climate applications of extreme value statistics. R software and accompanying tutorial.
12. Hall P. The Bootstrap and Edgeworth Expansion. Springer Series in Statistics (1992), Springer, New York
13. Hall P., and Yao Q. Inference in arch and garch models with heavy-tailed errors. Econometrica 71 (2003) 285-318
14. Hampel, F.R., 1968. Contribution to the theory of robust estimation. Ph.D. Thesis, University of California, Berkeley.
15. Hampel F.R. The influence curve and its role in robust estimation. Journal of the American Statistical Association 69 (1974) 383-393
16. Hampel F.R., Ronchetti E.M., Rousseeuw P.J., and Stahel W.A. Robust Statistics: The Approach Based on Influence Functions (1986), Wiley, New York
17. Hill B.M. A simple general approach to inference about the tail of a distribution. Annals of Statistics 3 (1975) 1163-1174
18. McDonald J.B. Some generalized functions for the size distribution income. Econometrica 52 (1984) 647-663
19. Monti A.C. The study of the Gini concentration ratio by means of the influence function. Statistica 51 (1991) 561-577
20. Schluter C., and Trede M. Tails of Lorenz curves. Journal of Econometrics 109 (2002) 151-166
21. Shorrocks A.F., and Foster J.E. Transfer-sensitive inequality measures. Review of Economic Studies 54 (1987) 485-498
22. Singh S.K., and Maddala G.S. A function for size distribution of incomes. Econometrica 44 (1976) 963-970