基于回归的广义熵和阿特金森不平等指数及其标准误差估算方法

Studies in Nonlinear Dynamics & Econometrics Pub Date : 2024-07-12 DOI:10.1515/snde-2024-0021

Sriram Shankar

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引用次数: 0

摘要

在本文中，我们展示了一种基于回归的方法，可用于估算广义熵和阿特金森不平等指数及其相关标准误差。我们使用美国医疗支出面板调查（MEPS）中的医疗支出数据来证明这种方法的适用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Regression-based Method for Estimating Generalised Entropy and Atkinson Inequality Indices and their Standard Errors

In this paper we show that a regression-based approach can be used to estimate generalised entropy and Atkinson inequality indices and their associated standard errors. The applicability of this approach is demonstrated using the health expenditure data from the United States (US) medical expenditure panel survey (MEPS).

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Studies in Nonlinear Dynamics & Econometrics

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