A tourist in the economics of tourism

Reflections on nonparametric estimation of stochastic frontier models

Dados Bibliográficos

ID21689618
AutoresChristopher F Parmeter (0000-0001-6123-0107, University of Miami, autor correspondente)
Ano2025
Volume31
Fascículo1
Páginas53-71
Data de publicação2025-02-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoTourism Economics (JOURNAL)
Identificadores do periódicoISSN: 1354-8166 • E-ISSN: 2044-0375
EditoraSAGE Publications (PUBLISHER • US)
DOI10.1177/13548166241266912
OpenAlexW4400808483
IdiomaEN
Citações recebidas2
Referências citadas67

The past two decades has seen tourism research embrace frontier methods to assess efficiency in tourism. Generically these methods are split into two different camps, deterministic and stochastic frontier models. Deterministic models are by their nature nonparametric and do not require distributional assumptions. Stochastic models allow for noise to enter the frontier, typically at the expense of a variety of potentially unverifiable assumptions. The primary objective of this short survey is to alert readers to the many advances that have been made to eliminate or mitigate various parametric assumptions in the stochastic frontier model

Econometrics · Economics · Estimation · Frontier · Geography · Nonparametric statistics · Tourism · Economic and Environmental Valuation · Efficiency Analysis Using DEA · Spatial and Panel Data Analysis