Estimation of Inequality Indices
AbstractInequality measures are powerful tools of applied welfare analysis. However, to use the tools effectively one has to take into account the characteristics of the data with which one usually has to work. These raise a number of common statistical problems which are addressed here for both micro-data and grouped data. The theoretical properties of inequality measures can often be used to simplify these problems and derive implementable algorithims.
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Bibliographic InfoPaper provided by Suntory and Toyota International Centres for Economics and Related Disciplines, LSE in its series STICERD - Distributional Analysis Research Programme Papers with number 25.
Date of creation: Oct 1996
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Web page: http://sticerd.lse.ac.uk/_new/publications/default.asp
Inequality; asymptotic estimates; resampling; grouping; robustness;
Other versions of this item:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
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- Gastwirth, Joseph L., 1975. "The estimation of a family of measures of economic inequality," Journal of Econometrics, Elsevier, vol. 3(1), pages 61-70, February.
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- Frank Cowell & Maria-Pia Victoria-Feser, 2003. "Distribution-Free Inference for Welfare Indices under Complete and Incomplete Information," Journal of Economic Inequality, Springer, vol. 1(3), pages 191-219, December.
- Duangkamon Chotikapanich & William E Griffiths, 2008. "Estimating Income Distributions Using a Mixture of Gamma Densities," Department of Economics - Working Papers Series 1034, The University of Melbourne.
- Duangkamon Chotikapanich & William E. Griffiths, 2006. "Bayesian Assessment of Lorenz and Stochastic Dominance in Income Distributions," Department of Economics - Working Papers Series 960, The University of Melbourne.
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