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

Research output: Contribution to journalJournal article

E-pub ahead of print
<mark>Journal publication date</mark>06/2018
<mark>Journal</mark>International Journal of Hospitality Management
Number of pages5
Pages (from-to)140-144
<mark>State</mark>E-pub ahead of print
Early online date3/02/18
<mark>Original language</mark>English


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.

Bibliographic note

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