FernándezMorales, Antonio (2016): Measuring poverty with the Foster, Greer and Thorbecke indexes based on the Gamma distribution.

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Abstract
The purpose of this paper is the estimation of the Foster, Greer and Thorbecke family of poverty indexes using the Gamma distribution as a continuous representation of the distribution of incomes. The expressions of this family of poverty indexes associated with the Gamma probability model and their asymptotic distributions are derived in the text, both for an exogenous and a relative (to the mean) poverty line. Finally, a Monte Carlo experiment is performed to compare three different methods of estimation for grouped data.
Item Type:  MPRA Paper 

Original Title:  Measuring poverty with the Foster, Greer and Thorbecke indexes based on the Gamma distribution 
Language:  English 
Keywords:  Poverty indexes; Income distribution; Gamma distribution 
Subjects:  C  Mathematical and Quantitative Methods > C1  Econometric and Statistical Methods and Methodology: General > C13  Estimation: General C  Mathematical and Quantitative Methods > C4  Econometric and Statistical Methods: Special Topics > C46  Specific Distributions ; Specific Statistics I  Health, Education, and Welfare > I3  Welfare, WellBeing, and Poverty > I32  Measurement and Analysis of Poverty 
Item ID:  69648 
Depositing User:  Antonio FernándezMorales 
Date Deposited:  22 Feb 2016 07:33 
Last Modified:  27 Sep 2019 09:11 
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URI:  https://mpra.ub.unimuenchen.de/id/eprint/69648 