A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research

A. George Assaf and Mike Tsionas

Annals of Tourism Research, 2019, vol. 76, issue C, 266-277

Abstract: This paper presents a review of performance modeling in tourism research, with special focus on frontier models. We discuss the current status of the literature, identify the gaps, and highlight directions for future improvements across both parametric and non-parametric methodologies. More specifically, we elaborate on key methodological issues including endogeneity, bad outputs, dynamic formulations, heterogeneity, Bayesian estimation, bootstrapping, and stochastic DEA. For each of these areas we discuss and introduce some recent methodological breakthroughs that have been largely ignored in the tourism literature.

Keywords: Performance modeling; Frontier models; Tourism performance (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0160738319300593
Full text for ScienceDirect subscribers only

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:eee:anture:v:76:y:2019:i:c:p:266-277

DOI: 10.1016/j.annals.2019.04.010

Access Statistics for this article

Annals of Tourism Research is currently edited by John Tribe

More articles in Annals of Tourism Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().