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ASYMPTOTIC ESTIMATION OF THE E-GINI INDEX

Published online by Cambridge University Press:  06 June 2003

Ričardas Zitikis
Affiliation:
University of Western Ontario

Abstract

Under minimal assumptions on the distribution of income, we demonstrate that Chakravarty's empirical (1988, International Economic Review 29, 147–156) E-Gini index is consistent and asymptotically normal. We also derive an explicit formula for the asymptotic variance of the index and then construct a consistent and computationally straightforward estimator for it.Sincere thanks are due to the co-editor Oliver B. Linton and two anonymous referees whose constructive criticism, advice, and queries helped me in reshaping the paper considerably. As advised by a referee, I had the great pleasure of communicating with Garry F. Barrett and Stephen G. Donald and learning about their interesting and closely related results. The starting point of my work on the project was correspondence with Joseph L. Gastwirth in the spring of 2000 that resulted in our joint work on the S-Gini index. I am grateful to Joseph L. Gastwirth for his time, his advice, and his numerous suggestions that followed. The help, in addition to interest in the project, by Ying Zhang of the Statistical Laboratory at the University of Western Ontario is greatly appreciated; the analysis of the dependence of σF2 on parameters presented in Table 1 is due to her. This research was partially supported by an NSERC of Canada individual research grant at the University of Western Ontario.

Type
Research Article
Copyright
© 2003 Cambridge University Press

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References

REFERENCES

Aghevli, B.B. & F. Mehran (1981) Optimal grouping of income distribution data. Journal of the American Statistical Association 76, 2226.CrossRefGoogle Scholar
Amiel, Y. & F.A. Cowell (1999) Thinking about Inequality. Cambridge: Cambridge University Press.
Atkinson, A.B. (1970) On the measurement of inequality. Journal of Economic Theory 2, 244263.CrossRefGoogle Scholar
Atkinson, A.B. & F. Bourguignon (eds.) (2000) Handbook of Income Distribution. Amsterdam: Elsevier Science.
Barrett, G.F. & S.G. Donald (2000) Statistical Inference with Generalized Gini Indices of Inequality and Poverty. Discussion paper 2002/01, School of Economics, University of New South Wales.
Barrett, G.F. & K. Pendakur (1995) The asymptotic distribution of the generalized Gini indices of inequality. Canadian Journal of Economics 28, 10421055.CrossRefGoogle Scholar
Beach, C.M. & R. Davidson (1983) Distribution-free statistical inference with Lorenz curves and income shares. Review of Economic Studies 50, 723735.CrossRefGoogle Scholar
Chakravarty, S.R. (1988) Extended Gini indices of inequality. International Economic Review 29, 147156.CrossRefGoogle Scholar
Champernowne, D.G. & F.A. Cowell (1998) Economic Inequality and Income Distribution. Cambridge: Cambridge University Press.
Cowell, F.A. (1998) Measuring Inequality. 2nd ed. London: Prentice-Hall/Harvester.
Csörgő, M. (1983) Quantile Processes with Statistical Applications. Philadelphia: SIAM.
Csörgő, M. (1986) Quantile processes. In S. Kotz, N.L. Johnson, & C.B. Read (eds.), Encyclopedia of Statistical Sciences, vol. 7, pp. 412424. New York: Wiley.
Csörgő, M., S. Csörgő, & L. Horváth (1986) An Asymptotic Theory for Empirical Reliability and Concentration Processes. Berlin: Springer-Verlag.
Csörgő, M., J.L. Gastwirth, & R. Zitikis (1998) Asymptotic confidence bands for the Lorenz and Bonferroni curves based on the empirical Lorenz curve. Journal of Statistical Planning and Inference 74, 6591.CrossRefGoogle Scholar
Csörgő, M. & L. Horváth (1993) Weighted Approximations in Probability and Statistics. Chichester: Wiley.
Csörgő, M. & H. Yu (1996) Weak approximations for quantile processes of stationary sequences. Canadian Journal of Statististics 24, 403430.CrossRefGoogle Scholar
Csörgő, M. & H. Yu (1999) Weak approximations for empirical Lorenz curves and their Goldie inverses of stationary observations. Advances in Applied Probability 31, 698719.CrossRefGoogle Scholar
Csörgő, M. & R. Zitikis (1996) Strassen's LIL for the Lorenz curve. Journal of Multivariate Analysis 59, 112.CrossRefGoogle Scholar
Dagum, C. (1983) Income inequality measures. In S. Kotz, N.L. Johnson, & C.B. Campbell (eds.), Encyclopedia of Statistical Sciences, vol. 4, pp. 3440. New York: Wiley.
David, H.A. (1968) Gini's mean difference rediscovered. Biometrika 55, 573575.CrossRefGoogle Scholar
Davydov, Y. & E. Thilly (1999) Réarrangements convexes de processus stochastiques. Comptes Rendus de l'Académie des Sciences: Série Mathématique 329, 10871090.CrossRefGoogle Scholar
Davydov, Y. & A.M. Vershik (1998) Réarrangements convexes des marches aléatoires. Annales de l'Institut Henri Poincaré: Probabilités et Statistiques 34, 7395.CrossRefGoogle Scholar
Davydov, Y. & R. Zitikis (2001) Generalized Lorenz Curves and Convexifications of Stochastic Processes. Technical Report 359, Laboratory for Research in Statistics and Probability, Carleton University and University of Ottawa, Ottawa.
Davydov, Y. & R. Zitikis (2002) Convergence of generalized Lorenz curves based on stationary ergodic random sequences with deterministic noise. Statistics and Probability Letters 59, 329340.CrossRefGoogle Scholar
Dobrushin, R.L. (1970) Describing a system of random variables by conditional distributions. Theory of Probability and Its Applications 15, 458486.CrossRefGoogle Scholar
Gastwirth, J.L. (1971) A general definition of the Lorenz curve. Econometrica 39, 10371039.CrossRefGoogle Scholar
Gastwirth, J.L. (1972) The estimation of the Lorenz curve and Gini index. Review of Economics and Statistics 54, 306316.CrossRefGoogle Scholar
Gastwirth, J.L. & M. Glauberman (1976) The interpolation of the Lorenz curve and Gini index from grouped data. Econometrica 44, 479483.CrossRefGoogle Scholar
Giorgi, G.-M. (1990) Bibliographic portrait of the Gini concentration ratio. Metron 48, 183221.Google Scholar
Giorgi, G.-M. (1993) A fresh look at the topical interest of the Gini concentration ratio. Metron 51, 8398.Google Scholar
Hoeffding, W. (1948) A class of statistics with asymptotically normal distribution. Annals of Mathematical Statistics 19, 293325.CrossRefGoogle Scholar
Kakwani, N.C. (1980a) Income Inequality and Poverty: Methods of Estimation and Policy Applications. New York: Oxford University Press.
Kakwani, N. (1980b) On a class of poverty measures. Econometrica 48, 437446.Google Scholar
Kendall, M.G. & A. Stuart (1958) The Advanced Theory of Statistics, vol. 1: Distribution theory. New York: Hafner Publishing.
Kolm, S.C. (1976a) Unequal inequalities, part I. Journal of Economic Theory 12, 416442.Google Scholar
Kolm, S.C. (1976b) Unequal inequalities, part II. Journal of Economic Theory 13, 82111.Google Scholar
Lorenz, M.C. (1905) Methods of measuring the concentration of wealth. Journal of the American Statistical Association 9, 209219.Google Scholar
Mehran, F. (1976) Linear measures of income inequality. Econometrica 44, 805809.Google Scholar
Nygård, F. & A. Sandström (1981) Measuring Income Inequality. Stockholm: Almqvist & Wiksell.
Parzen, E. (1979) Nonparametric statistical data modeling. With comments by John W. Tukey, Roy E. Welsch, William F. Eddy, D.V. Lindley, Michael E. Tarter, and Edwin L. Crow, and a rejoinder by the author. Journal of the American Statistical Association 74, 105131.Google Scholar
Sen, A. (1997) On Economic Inequality. (Expanded edition with a substantial annexe by J.E. Foster & A. Sen.) Oxford: Clarendon Press.
Shao, J. (1994) L-statistics in complex survey problems. Annals of Statistics 22, 946967.Google Scholar
Shao, Q.-M. & H. Yu (1996) Weak convergence for weighted empirical processes of dependent sequences. Annals of Probability 24, 20982127.Google Scholar
Shorack, G.R. (2000) Probability for Statisticians. New York: Springer-Verlag.
Shorack, G.R. & J.A. Wellner (1986) Empirical Processes with Applications to Statistics. New York: Wiley.
Shorrocks, A.F. & J.E. Foster (1987) Transfer sensitive inequality measures. Review of Economic Studies 54, 485497.Google Scholar
Silber, J. (ed.) (1999) Handbook on Income Inequality Measurement. Boston: Kluwer Academic Publishers.
Thilly, E. (1999) Réarrangements Convexes des Trajectoires de Processus Stochastiques. Ph.D. Thesis, University of Science and Technology of Lille, Lille.
Xu, K. (2000) Inference for generalized Gini indices using the iterated-bootstrap method. Journal of Business and Economic Statistics 18, 223227.Google Scholar
Yitzhaki, S. (1991) Calculating jackknife variance estimators for parameters of the Gini method. Journal of Business and Economic Statistics 9, 235239.Google Scholar
Yu, H. (1993) A Glivenko-Cantelli lemma and weak convergence for empirical processes of associated sequences. Probabability Theory and Related Fields 95, 357370.Google Scholar
Zheng, B. (1997) Aggregate poverty measures. Journal of Economic Surveys 11, 123162.Google Scholar
Zheng, B. & B.J. Cushing (2001) Statistical inference for testing inequality indices with dependent samples. Journal of Econometrics 101, 315335.Google Scholar
Zheng, B. (2001) Statistical inference for poverty measures with relative poverty lines. Journal of Econometrics 10, 337356.Google Scholar
Zitikis, R. (1998) The Vervaat process. In B. Szyszkowicz (ed.), Asymptotic Methods in Probability and Statistics: A Volume in Honour of Miklós Csörgő, pp. 667694. Amsterdam: Elsevier.
Zitikis, R. (2002a) Analysis of indices of economic inequality from a mathematical point of view. (Invited Plenary Lecture at the 11th Indonesian Mathematics Conference, State University of Malang, Indonesia.) Matematika 8, 772782.Google Scholar
Zitikis, R. (2002b) Large sample estimation of a family of economic inequality indices. Pakistan Journal of Statistics (Special Issue in Honour of Dr. S. Ejaz Ahmed) 18, 225248.Google Scholar
Zitikis, R. & J.L. Gastwirth (2002) Asymptotic distribution of the S-Gini index. Australian and New Zealand Journal of Statistics 44, 439446.Google Scholar