Bayesian dynamic panel models for tourism research

Assaf, A. George and Tsionas, Mike G. (2019) Bayesian dynamic panel models for tourism research. Tourism Management, 75. pp. 582-594. ISSN 0261-5177

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This paper describes several innovative dynamic panel data models that allow variations in slope coefficients both across time and cross-sectional units. We replace time variation with a dynamic (autoregressive) component and introduce several variations of the so-called Mundlak device in which random intercepts are linear function of the average values of the regressors. We develop all models in a Bayesian framework, and test their performance using an interesting application on the impact of advertising on firm sales. We provide technical details of all these models and present tools to compare their performance in a Bayesian framework. Moreover, model averaging and posterior model pools are presented to gain more insight into the relationship between advertising and sales.

Item Type:
Journal Article
Journal or Publication Title:
Tourism Management
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This is the author’s version of a work that was accepted for publication in Tourism 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 Tourism Management, 75, 2019 DOI: 10.1016/j.tourman.2019.06.012
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02 Dec 2020 10:25
Last Modified:
22 Nov 2022 09:43