| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7419046 | International Journal of Hospitality Management | 2018 | 5 Pages |
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.
Related Topics
Social Sciences and Humanities
Business, Management and Accounting
Strategy and Management
Authors
A. George Assaf, Mike Tsionas,