Efficient estimation of income distribution parameters
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- John Dagsvik & Zhiyang Jia & Bjørn Vatne & Weizhen Zhu, 2013.
"Is the Pareto–Lévy law a good representation of income distributions?,"
Empirical Economics, Springer, vol. 44(2), pages 719-737, April.
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"A flexible parametric GARCH model with an application to exchange rates,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(4), pages 521-536.
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- Christophe Muller, 2005.
"Poverty and inequality under income and price dispersions,"
Canadian Journal of Economics, Canadian Economics Association, vol. 38(3), pages 979-998, August.
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- Christophe Muller, 2004. "Poverty And Inequality Under Income And Price Dispersions," Working Papers. Serie AD 2004-35, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Sung Y. Park & Anil K. Bera, 2018.
"Information theoretic approaches to income density estimation with an application to the U.S. income data,"
The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(4), pages 461-486, December.
- Sung Y. Park & Anil K. Bera, 2018. "Information theoretic approaches to income density estimation with an application to the U.S. income data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(4), pages 461-486, December.
- Schluter, Christian & van Garderen, Kees Jan, 2009. "Edgeworth expansions and normalizing transforms for inequality measures," Journal of Econometrics, Elsevier, vol. 150(1), pages 16-29, May.
- Stanislav Kolenikov & Anthony Shorrocks, 2005.
"A Decomposition Analysis of Regional Poverty in Russia,"
Review of Development Economics, Wiley Blackwell, vol. 9(1), pages 25-46, February.
- Stanislav Kolenikov & Anthony F. Shorrocks, 2003. "A Decomposition Analysis of Regional Poverty in Russia," WIDER Working Paper Series DP2003-74, World Institute for Development Economic Research (UNU-WIDER).
- 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.
- Salvatore Dominick & Campano Fred, 2012.
"Globalization, Growth and Poverty,"
Global Economy Journal, De Gruyter, vol. 12(4), pages 1-15, December.
- Dominick Salvatore & Fred Campano, 2012. "Globalization, Growth and Poverty," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 12(4), pages 1-15, November.
- Vladimir Hlasny, 2021.
"Parametric representation of the top of income distributions: Options, historical evidence, and model selection,"
Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1217-1256, September.
- Vladimir Hlasny, 2020. "Parametric Representation of the Top of Income Distributions: Options, Historical Evidence and Model Selection," Working Papers 547, ECINEQ, Society for the Study of Economic Inequality.
- Vladimir Hlasny, 2020. "Parametric Representation of the Top of Income Distributions: Options, Historical Evidence and Model Selection," Commitment to Equity (CEQ) Working Paper Series 90, Tulane University, Department of Economics.
- Christophe Van den Bulte & Stefan Stremersch, 2004. "Social Contagion and Income Heterogeneity in New Product Diffusion: A Meta-Analytic Test," Marketing Science, INFORMS, vol. 23(4), pages 530-544, July.
- Kazuhiko Kakamu & Haruhisa Nishino, 2016. "Bayesian Estimation Of Beta-Type Distribution Parameters Based On Grouped Data," Discussion Papers 2016-08, Kobe University, Graduate School of Business Administration.
- McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
- Callealta Barroso, Francisco Javier & García-Pérez, Carmelo & Prieto-Alaiz, Mercedes, 2020. "Modelling income distribution using the log Student’s t distribution: New evidence for European Union countries," Economic Modelling, Elsevier, vol. 89(C), pages 512-522.
- Juan Mora & Alicia Pérez-Alonso, 2009.
"Specification tests for the distribution of errors in nonparametric regression: a martingale approach,"
Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 21(4), pages 441-452.
- Alicia Pérez Alonso & Juan Mora, 2008. "Specification Tests for the Distribution of Errors in Nonoarametric Regression: A Martingale Approach," Working Papers. Serie AD 2008-11, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- van den Bulte, C. & Stremersch, S., 2003. "Contagion and heterogeneity in new product diffusion: An emperical test," ERIM Report Series Research in Management ERS-2003-077-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
- Dietmar Harhoff & Frederic M. Scherer & Katrin Vopel, 1997.
"Exploring the Tail of Patented Invention Value Distributions,"
CIG Working Papers
FS IV 97-27, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
- Scherer, Frederic M. & Harhoff, Dietmar & Vopel, Katrin, 1997. "Exploring the Tail of Patented Invention Value Distributions," ZEW Discussion Papers 97-30, ZEW - Leibniz Centre for European Economic Research.
- Davide Provenzano, 2017. "On the World Distribution of Income," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(1), pages 189-196, March.
- Fernández-Morales, Antonio, 2016. "Measuring poverty with the Foster, Greer and Thorbecke indexes based on the Gamma distribution," MPRA Paper 69648, University Library of Munich, Germany.
- Singh, Vijay P., 2018. "Systems of frequency distributions for water and environmental engineering," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 50-74.
- Guanghua Wan, 2012. "Towards Greater Equality in China: The Economic Growth Dividend," Working Papers 2012/33, Maastricht School of Management.
- Christophe Muller, 2001. "The Properties of the Watts Poverty Index under Lognormality," Economics Bulletin, AccessEcon, vol. 9(1), pages 1-9.
- Li, Yong & Zhang, Mingzhi & Zhang, Yonghui, 2022. "Sequential Bayesian bandwidth selection for multivariate kernel regression with applications," Economic Modelling, Elsevier, vol. 112(C).
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