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Pareto–lognormal distributions...
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11
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3
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GMM estimation of income distributions from grouped data
Hajargasht, Gholamreza
;
Griffiths, William E.
;
Brice, Joseph
-
2011
Persistent link: https://www.econbiz.de/10009409819
Saved in:
2
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
Saved in:
3
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
Saved in:
4
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
Saved in:
5
Inference for Lorenz Curves
Hajargasht, Gholamreza
;
Griffiths, William E.
-
2016
Persistent link: https://www.econbiz.de/10011521952
Saved in:
6
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
Saved in:
7
A semiparametric stochastic frontier model with correlated effects
Hajargasht, Gholamreza
;
Griffiths, William E.
-
2019
Persistent link: https://www.econbiz.de/10012244163
Saved in:
8
Inequality measures for a mixture of pareto lognormal distributions
Griffiths, William E.
;
Duangkamon Chotikapanich
; …
-
2020
Persistent link: https://www.econbiz.de/10012429681
Saved in:
9
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
Saved in:
10
Modelling income distributions with limited data
Duangkamon Chotikapanich
;
Griffiths, William E.
; …
- In:
Advances in Economic Measurement : A Volume in Honour …
,
(pp. 233-263)
.
2022
Persistent link: https://www.econbiz.de/10013431396
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