Dynamic panel data models in tourism

Ángeles Gallego, M. Ángeles Rodríguez-Serrano and Cristóbal Casanueva

Current Issues in Tourism, 2019, vol. 22, issue 4, 379-399

Abstract: The analysis of relations of dependency is widespread in tourism research. However, there are a series of questions related to endogeneity, such as dependence on the past and reverse causality, closely linked to the specific characteristics of the sector, which cast doubt on the conventional methods that are currently in use, especially Ordinary Least Squares. In this paper, the consideration of those questions and their analysis is proposed with the current methodology of dynamic panel data with the System GMM method. In addition, an practical application is advanced with 187 airlines to demonstrate the use of the tool. The results of dynamic panel data analysis can contribute new nuances in the field of tourism that have hardly been reflected upon until now. Here it is used to examine the complex interrelations and the dynamic components of the sector in greater depth.

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/13683500.2018.1467386 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:rcitxx:v:22:y:2019:i:4:p:379-399

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rcit20

DOI: 10.1080/13683500.2018.1467386

Access Statistics for this article

Current Issues in Tourism is currently edited by Jennifer Tunstall

More articles in Current Issues in Tourism from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().