Calculating Jackknife Variance Estimators for Parameters of the Gini Method
AbstractThis 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 InfoArticle provided by American Statistical Association in its journal Journal of Business and Economic Statistics.
Volume (Year): 9 (1991)
Issue (Month): 2 (April)
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- 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).
- Yitzhaki, Shlomo, 2002. "Do we need a separate poverty measurement?," European Journal of Political Economy, Elsevier, vol. 18(1), pages 61-85, March.
- 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.
- 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.
- 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.
- 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.
- 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.
- Karoly, Lynn & Schröder, Carsten, 2013. "Fast methods for jackknifing inequality indices," Economics Working Papers 2013-04, Christian-Albrechts-University of Kiel, Department of Economics.
- 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.
- Thomas Demuynck, 2012.
"An (almost) unbiased estimator for the S-Gini index,"
Journal of Economic Inequality,
Springer, vol. 10(1), pages 109-126, March.
- 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.
- David E. A. Giles, 2002.
"Calculating a Standard Error for the Gini Coefficient: Some Further Results,"
Econometrics Working Papers
0202, Department of Economics, University of Victoria.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
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