Asymptotic Versus Bootstrap Inference for Inequality Indices of the Cumulative Distribution Function

Abul Naga, R, Stapenhurst, C and Yalonetzky, G orcid.org/0000-0003-2438-0223 (2020) Asymptotic Versus Bootstrap Inference for Inequality Indices of the Cumulative Distribution Function. Econometrics, 8 (1). 8. ISSN 2225-1146

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Item Type: Article
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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

Keywords: measurement of inequality; ordered response data; multinomial sampling; large sample distributions; Studentized bootstrap tests; monte carlo experiments
Dates:
  • Accepted: 18 February 2020
  • Published (online): 26 February 2020
  • Published: March 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Business (Leeds) > Economics Division (LUBS) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 20 Feb 2020 15:10
Last Modified: 25 Jun 2023 22:10
Status: Published
Publisher: MDPI
Identification Number: 10.3390/econometrics8010008
Open Archives Initiative ID (OAI ID):

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