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GMM estimation of mixtures from grouped data : an application to income distributions

Griffiths, William E.; Hajargasht, Gholamreza - 2012

Persistent link: https://www.econbiz.de/10009553187

Inference for income distributions using grouped data

Hajargsht, Gholamreza; Griffiths, William E.; Brice, Joseph - 2012

Persistent link: https://www.econbiz.de/10009553207

On GMM estimation of distributions from grouped data

Griffiths, William E.; Hajargasht, Gholamreza - In: Economics letters 126 (2015), pp. 122-126

Persistent link: https://www.econbiz.de/10011376440

Inference for income distribution using grouped data

Hajargasht, Gholamreza; Griffiths, William E.; Brice, Joseph - In: Journal of business & economic statistics : JBES ; a … 30 (2012) 4, pp. 563-575

Persistent link: https://www.econbiz.de/10009667030

GMM estimation of income distributions from grouped data

Hajargasht, Gholamreza; Griffiths, William E.; Brice, Joseph - 2011

Persistent link: https://www.econbiz.de/10009409819

Inference for Lorenz Curves

Hajargasht, Gholamreza; Griffiths, William E. - 2016

Persistent link: https://www.econbiz.de/10011521952

Pareto-lognormal income distributions : inequality and poverty measures, estimation and performance

Hajargasht, Gholamreza; Griffiths, William E. - 2012

Persistent link: https://www.econbiz.de/10009565884

Pareto-lognormal distributions : inequality, poverty, and estimation from grouped income data

Hajargasht, Gholamreza; Griffiths, William E. - In: Economic modelling 33 (2013), pp. 593-604

Persistent link: https://www.econbiz.de/10010193283

Minimum distance estimation of parametric Lorenz curves based on grouped data

Hajargasht, Gholamreza; Griffiths, William E. - In: Econometric reviews 39 (2020) 4, pp. 344-361

Persistent link: https://www.econbiz.de/10012181422

Using the GB2 income distribution

Duangkamon Chotikapanich; Griffiths, William E.; … - In: Econometrics : open access journal 6 (2018) 2, pp. 1-24

To use the generalized beta distribution of the second kind (GB2) for the analysis of income and other positively skewed distributions, knowledge of estimation methods and the ability to compute quantities of interest from the estimated parameters are required. We review estimation methodology...

Persistent link: https://www.econbiz.de/10011823360