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The estimation of the Lorenz curve and Gini index

Gastwirth, Joseph L. - In: The review of economics and statistics 54 (1972) 3, pp. 306-316

Persistent link: https://www.econbiz.de/10002400223

Large sample theory of some measures of income inequality

Gastwirth, Joseph L. - In: Econometrica : journal of the Econometric Society, an … 42 (1974) 1, pp. 191-196

Persistent link: https://www.econbiz.de/10002400449

A new index of income inequality

Gastwirth, Joseph L. - In: Bulletin of the International Statistical Institute 45 (1973) 1, pp. 437-441

Persistent link: https://www.econbiz.de/10002400453

The interpolation of the Lorenz curve and Gini index from grouped data

Gastwirth, Joseph L.; Glauberman, Marcia - In: Econometrica : journal of the Econometric Society, an … 44 (1976) 3, pp. 479-483

Persistent link: https://www.econbiz.de/10002400229

A cautionary note on estimating the standard error of the Gini index of inequality : comment

Ogwang, Tomson - In: Oxford bulletin of economics and statistics 68 (2006) 3, pp. 391-393

Persistent link: https://www.econbiz.de/10003327369

A cautionary note on estimating the standard error of the Gini index of inequality : comment

Giles, David E. A. - In: Oxford bulletin of economics and statistics 68 (2006) 3, pp. 395-396

Persistent link: https://www.econbiz.de/10003327370

Is the Gini Index of Inequality Overly Sensitive to Changes in the Middle of the Income Distribution?

Gastwirth, Joseph L. - 2017

The Gini index is the most commonly used measure of income inequality. Like any single summary measure of a set of data it cannot capture all aspects that are of interest to researchers. One of its widely reported flaws is that it is supposed to be overly sensitive to changes in the middle of...

Persistent link: https://www.econbiz.de/10012967041

Comparing the secular increasing trend and effect of the response to the 2008 financial recession on wealth inequality in the U.S. with other nations using the median-based Gini in...

Gastwirth, Joseph L.; Shi, Qing - In: Journal of quantitative economics 20 (2022), pp. 261-276

Persistent link: https://www.econbiz.de/10013441629