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

Research output: Contribution to journal › Article › peer-review

118 Downloads (Pure)

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.econlet.2014.01.015

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

Cite this

@article{9ad94edd8f214070bb5bdaef6d0c440b,

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. ",

keywords = "empirical likelihood, inequality measures, entropy class",

author = "Tahsin Mehdi and Thanasis Stengos",

year = "2014",

month = apr,

day = "1",

doi = "10.1016/j.econlet.2014.01.015",

language = "English",

volume = "123",

pages = "54--57",

journal = "Economics Letters",

issn = "0165-1765",

publisher = "Elsevier BV",

number = "1",

}

TY - JOUR

T1 - Empirical likelihood-based inference for the generalized entropy class of inequality measures

AU - Mehdi, Tahsin

AU - Stengos, Thanasis

PY - 2014/4/1

Y1 - 2014/4/1

N2 - 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.

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.

KW - empirical likelihood

KW - inequality measures

KW - entropy class

UR - https://linkinghub.elsevier.com/retrieve/pii/S0165176514000238

U2 - 10.1016/j.econlet.2014.01.015

DO - 10.1016/j.econlet.2014.01.015

M3 - Article

SN - 0165-1765

VL - 123

SP - 54

EP - 57

JO - Economics Letters

JF - Economics Letters

IS - 1

ER -

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

Abstract

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this