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Indirect Inference for Fitting Income Distributions

被引：0
|
作者：
Jammalamadaka S.R. [1 ]
Tian G. [1 ]
机构：
[1] Department of Statistics and Applied Probability, University of California, Santa Barbara
来源：
Journal of the Indian Society for Probability and Statistics | 2018年 / 19卷 / 2期
关键词：
Estimation; Income distribution; Indirect inference; Lorenz curve;
D O I：
10.1007/s41096-018-0048-x
中图分类号：
学科分类号：
摘要：
We suggest a novel application of indirect inference method for estimating income distribution using limited data. Generalized method of moments (GMM) method is the classical way to estimate a parametric income distribution in this case. To use GMM, explicit expression for moments are needed. In this paper, indirect inference method allows us to estimate it without needing to find explicit analytical expression. Theoretical properties of this estimator and a goodness-of-fit test are provided. © 2018, The Indian Society for Probability and Statistics (ISPS).
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收藏
页码：345 / 358
页数：13
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