Changing The Basics:Toward More Use of Quantile Regressions in Hospitality and Tourism Research

Assaf, A. George and Tsionas, Mike (2018) Changing The Basics:Toward More Use of Quantile Regressions in Hospitality and Tourism Research. International Journal of Hospitality Management, 72. pp. 140-144. ISSN 0278-4319

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Abstract

The aim of this paper is to encourage more use of Quantile Regressions (QRs) in hospitality and tourism research. More importantly, we focus on the Bayesian estimation of QRs and discuss its advantages over traditional estimation techniques. We also discuss a Bayesian QR model that accounts for heteroscedasticity. We illustrate the performance of the two models using an interesting application on corporate social responsibility and firm value.

Item Type: Journal Article
Journal or Publication Title: International Journal of Hospitality Management
Additional Information: This is the author’s version of a work that was accepted for publication in International Journal of Hospitality Management. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Hospitality Management, 72, 2018 DOI: 10.1016/j.ijhm.2018.01.009
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/1400/1409
Subjects:
Departments: Lancaster University Management School > Economics
ID Code: 90166
Deposited By: ep_importer_pure
Deposited On: 06 Feb 2018 14:44
Refereed?: Yes
Published?: Published
Last Modified: 27 Feb 2020 04:08
URI: https://eprints.lancs.ac.uk/id/eprint/90166

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