Bayesian analysis of mixtures of lognormal distribution with an unknown number of components from grouped data
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- Paapaa, Richard & van Dijk, Herman K., 1998. "Distribution and mobility of wealth of nations," European Economic Review, Elsevier, vol. 42(7), pages 1269-1293, July.
- Dorfman, Robert, 1979. "A Formula for the Gini Coefficient," The Review of Economics and Statistics, MIT Press, vol. 61(1), pages 146-149, February.
- Flachaire, Emmanuel & Nunez, Olivier, 2007.
"Estimation of the income distribution and detection of subpopulations: An explanatory model,"
Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3368-3380, April.
- Flachaire, Emmanuel & Núñez, Olivier, 2003. "Estimation of income distribution and detection of subpopulations: an explanatory model," DES - Working Papers. Statistics and Econometrics. WS ws030201, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Emmanuel Flachaire & Olivier Nunez, 2007. "Estimation of income distribution and detection of subpopulations: an explanatory model," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00175923, HAL.
- Emmanuel Flachaire & Olivier Nunez, 2007. "Estimation of income distribution and detection of subpopulations: an explanatory model," Post-Print halshs-00175923, HAL.
- Kazuhiko Kakamu & Haruhisa Nishino, 2019. "Bayesian Estimation of Beta-type Distribution Parameters Based on Grouped Data," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 625-645, August.
- James B. McDonald, 2008.
"Some Generalized Functions for the Size Distribution of Income,"
Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Duangkamon Chotikapanich (ed.), Modeling Income Distributions and Lorenz Curves, chapter 3, pages 37-55,
Springer.
- McDonald, James B, 1984. "Some Generalized Functions for the Size Distribution of Income," Econometrica, Econometric Society, vol. 52(3), pages 647-663, May.
- Lubrano, Michel & Ndoye, Abdoul Aziz Junior, 2016.
"Income inequality decomposition using a finite mixture of log-normal distributions: A Bayesian approach,"
Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 830-846.
- Michel Lubrano & Abdoul Aziz Junior Ndoye, 2016. "Income inequality decomposition using a finite mixture of log-normal distributions: A Bayesian approach," Post-Print hal-01440303, HAL.
- Michel Lubrano & Abdoul Aziz Junior Ndoye, 2016. "Income inequality decomposition using a finite mixture of log-normal distributions: A Bayesian approach," Post-Print hal-03564666, HAL.
- Michel Lubrano & Abdoul Aziz Junior Ndoye, 2016. "Income inequality decomposition using a finite mixture of log-normal distributions: A Bayesian approach," Post-Print hal-03529749, HAL.
- McDonald, James B & Ransom, Michael R, 1979. "Functional Forms, Estimation Techniques and the Distribution of Income," Econometrica, Econometric Society, vol. 47(6), pages 1513-1525, November.
- Sylvia. Richardson & Peter J. Green, 1997. "On Bayesian Analysis of Mixtures with an Unknown Number of Components (with discussion)," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 59(4), pages 731-792.
- Duangkamon Chotikapanich & William E. Griffiths, 2008.
"Estimating Income Distributions Using a Mixture of Gamma Densities,"
Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Duangkamon Chotikapanich (ed.), Modeling Income Distributions and Lorenz Curves, chapter 16, pages 285-302,
Springer.
- 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.
- Shiow-Lan Gau & Jean Dieu Tapsoba & Shen-Ming Lee, 2014. "Bayesian approach for mixture models with grouped data," Computational Statistics, Springer, vol. 29(5), pages 1025-1043, October.
- Papastamoulis, Panagiotis & Iliopoulos, George, 2009. "Reversible Jump MCMC in mixtures of normal distributions with the same component means," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 900-911, February.
- Kazuhiko Kakamu, 2016. "Simulation Studies Comparing Dagum and Singh–Maddala Income Distributions," Computational Economics, Springer;Society for Computational Economics, vol. 48(4), pages 593-605, December.
- Lubrano, Michel & Ndoye, Abdoul Aziz Junior, 2016.
"Income inequality decomposition using a finite mixture of log-normal distributions: A Bayesian approach,"
Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 830-846.
- Michel Lubrano & Abdoul Aziz Junior Ndoye, 2016. "Income inequality decomposition using a finite mixture of log-normal distributions: A Bayesian approach," Post-Print hal-01440303, HAL.
- Michel Lubrano & Abdoul Aziz Junior Ndoye, 2016. "Income inequality decomposition using a finite mixture of log-normal distributions: A Bayesian approach," Post-Print hal-03676126, HAL.
- McDonald, James B. & Xu, Yexiao J., 1995.
"A generalization of the beta distribution with applications,"
Journal of Econometrics, Elsevier, vol. 66(1-2), pages 133-152.
- McDonald, James B. & Xu, Yexiao J., 1995. "A generalization of the beta distribution with applications," Journal of Econometrics, Elsevier, vol. 69(2), pages 427-428, October.
- Robert F. Bordley & James B. McDonald & Anand Mantrala, 1997. "Something New, Something Old: Parametric Models for the Size of Distribution of Income," Journal of Income Distribution, Ad libros publications inc., vol. 6(1), pages 5-5, June.
- S. Richardson & P. J. Green, 1998. "Corrigendum: On Bayesian analysis of mixtures with an unknown number of components," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 60(3), pages 661-661.
- David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
- Gastwirth, Joseph L, 1972. "The Estimation of the Lorenz Curve and Gini Index," The Review of Economics and Statistics, MIT Press, vol. 54(3), pages 306-316, August.
- William E. Griffiths and Gholamreza Hajargasht, 2012. "GMM Estimation of Mixtures from Grouped Data:," Department of Economics - Working Papers Series 1148, The University of Melbourne.
- Tobias Eckernkemper & Bastian Gribisch, 2021. "Classical and Bayesian Inference for Income Distributions using Grouped Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(1), pages 32-65, February.
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This paper has been announced in the following NEP Reports:- NEP-DCM-2022-11-14 (Discrete Choice Models)
- NEP-ECM-2022-11-14 (Econometrics)
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