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.This article launches a Curated Collection on performance modeling in tourism research, containing all articles published in Annals on the topic.

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