Minimum distance estimation of parametric Lorenz curves based on grouped data
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DOI: 10.1080/07474938.2019.1630077
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Cited by:
- Lee, Ji Hyung & Sasaki, Yuya & Toda, Alexis Akira & Wang, Yulong, 2024.
"Tuning parameter-free nonparametric density estimation from tabulated summary data,"
Journal of Econometrics, Elsevier, vol. 238(1).
- Ji Hyung Lee & Yuya Sasaki & Alexis Akira Toda & Yulong Wang, 2022. "Tuning Parameter-Free Nonparametric Density Estimation from Tabulated Summary Data," Papers 2204.05480, arXiv.org, revised May 2023.
- Tsvetana Spasova, 2024. "Estimating Income Distributions From Grouped Data: A Minimum Quantile Distance Approach," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2079-2096, October.
- Vanesa Jorda & José María Sarabia & Markus Jäntti, 2021. "Inequality measurement with grouped data: Parametric and non‐parametric methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 964-984, July.
- 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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