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Calculating Jackknife Variance Estimators for Parameters of the Gini Method

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  • Yitzhaki, Shlomo

Abstract

This article calculates jackknife variance estimators for parameters of the Gini method. For nonstratified samples, the calculation of the jackknife variance estimation requires only two runs over the data. Therefore, it enables users of the Gini method to calculate standard errors of the estimates using a standard personal computer.

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Bibliographic Info

Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.

Volume (Year): 9 (1991)
Issue (Month): 2 (April)
Pages: 235-39

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Handle: RePEc:bes:jnlbes:v:9:y:1991:i:2:p:235-39

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Cited by:
  1. Edna Schechtman & Shlomo Yitzhaki & Taina Pudalov, 2011. "Gini’s multiple regressions: two approaches and their interaction," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 67-99.
  2. Giovanni Maria Giorgi, 2011. "Corrado Gini: the man and the scientist," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 1-28.
  3. Lynn A. Karoly & Carsten Schröder, 2014. "Fast Methods for Jackknifing Inequality Indices," SOEPpapers on Multidisciplinary Panel Data Research 643, DIW Berlin, The German Socio-Economic Panel (SOEP).
  4. Akli Berri, 2009. "Transport consumption inequalities and redistributive effects of taxes: A repeated cross-sectional evaluation on French household data," Working Papers 145, ECINEQ, Society for the Study of Economic Inequality.
  5. Shlomo Yitzhaki & Edna Schechtman, 2004. "The Gini Instrumental Variable, or the “double instrumental variable” estimator," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 287-313.
  6. David E. A. Giles, 2004. "Calculating a Standard Error for the Gini Coefficient: Some Further Results," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(3), pages 425-433, 07.
  7. Wodon, Quentin & Yitzhaki, Shlomo, 2003. "The effect of using grouped data on the estimation of the Gini income elasticity," Economics Letters, Elsevier, vol. 78(2), pages 153-159, February.
  8. Heshmati, Almas, 2004. "Data Issues and Databases Used in Analysis of Growth, Poverty and Economic Inequality," IZA Discussion Papers 1263, Institute for the Study of Labor (IZA).
  9. Yitzhaki, Shlomo, 2002. "Do we need a separate poverty measurement?," European Journal of Political Economy, Elsevier, vol. 18(1), pages 61-85, March.
  10. Walter Piesch, 2005. "A look at the structure of some extended Ginis," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(2), pages 263-296.
  11. John C. Weicher, 1997. "Wealth and its distribution, 1983-1992: secular growth, cyclical stability," Review, Federal Reserve Bank of St. Louis, issue Jan, pages 3-23.
  12. Judith A. Clarke & Ahmed A. Hoque, 2014. "On Variance Estimation for a Gini Coefficient Estimator Obtained from Complex Survey Data," Econometrics Working Papers 1401, Department of Economics, University of Victoria.
  13. Yoonseok Lee & Donggyun Shin, 2013. "Measuring Social Unrest Based on Income Distribution," Center for Policy Research Working Papers 160, Center for Policy Research, Maxwell School, Syracuse University.
  14. T. Demuynck, 2009. "An (almost) unbiased estimator for the S-Gini index," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/569, Ghent University, Faculty of Economics and Business Administration.
  15. M. Grazia Pittau & Shlomo Yitzhaki & Roberto Zelli, 2011. "The make-up of a regression coefficient: An application to gender," DSS Empirical Economics and Econometrics Working Papers Series 2011/3, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
  16. Qin, Yongsong & Rao, J.N.K. & Wu, Changbao, 2010. "Empirical likelihood confidence intervals for the Gini measure of income inequality," Economic Modelling, Elsevier, vol. 27(6), pages 1429-1435, November.
  17. Schumann, Keith D., 2011. "Semi-nonparametric test of second degree stochastic dominance with respect to a function," Journal of Econometrics, Elsevier, vol. 162(1), pages 71-78, May.
  18. Barham, Bradford & Boucher, Stephen, 1998. "Migration, remittances, and inequality: estimating the net effects of migration on income distribution," Journal of Development Economics, Elsevier, vol. 55(2), pages 307-331, April.

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