Empirical likelihood-based inference for the generalized entropy class of inequality measures

Tahsin Mehdi; Thanasis Stengos

doi:10.1016/j.econlet.2014.01.015

Empirical likelihood-based inference for the generalized entropy class of inequality measures

Tahsin Mehdi, Thanasis Stengos

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Abstract

We propose an empirical likelihood-based method of inference for comparing inequality between two populations. A series of Monte Carlo experiments are used to assess our method’s finite sample performance. We illustrate our approach using some Canadian household income data.

Original language	English
Pages (from-to)	54-57
Number of pages	4
Journal	Economics Letters
Volume	123
Issue number	1
Early online date	28 Jan 2014
DOIs	https://doi.org/10.1016/j.econlet.2014.01.015
Publication status	Published - 1 Apr 2014

Keywords

empirical likelihood
inequality measures
entropy class

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10.1016/j.econlet.2014.01.015

Mehdi_2014_AAMAccepted author manuscript (Post-print), 390 KBLicence: CC BY-NC-ND

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title = "Empirical likelihood-based inference for the generalized entropy class of inequality measures",

abstract = "We propose an empirical likelihood-based method of inference for comparing inequality between two populations. A series of Monte Carlo experiments are used to assess our method{\textquoteright}s finite sample performance. We illustrate our approach using some Canadian household income data.",

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AB - We propose an empirical likelihood-based method of inference for comparing inequality between two populations. A series of Monte Carlo experiments are used to assess our method’s finite sample performance. We illustrate our approach using some Canadian household income data.

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JO - Economics Letters

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Empirical likelihood-based inference for the generalized entropy class of inequality measures

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Keywords

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