A tourist in the economics of tourism: Reflections on nonparametric estimation of stochastic frontier models

IF 3.6 3区 管理学 Q1 ECONOMICS Tourism Economics Pub Date : 2024-07-19 DOI:10.1177/13548166241266912
Christopher F. Parmeter
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Abstract

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.
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旅游经济学中的游客:对随机前沿模型非参数估计的思考
过去二十年来,旅游业研究一直采用前沿方法来评估旅游业的效率。一般来说,这些方法分为两个不同的阵营:确定性前沿模型和随机前沿模型。确定性模型本质上是非参数模型,不需要分布假设。随机模型允许噪声进入前沿,通常以各种可能无法验证的假设为代价。本短文的主要目的是提醒读者注意在消除或减轻随机前沿模型中的各种参数假设方面所取得的诸多进展。
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来源期刊
Tourism Economics
Tourism Economics Multiple-
CiteScore
9.30
自引率
11.40%
发文量
90
期刊介绍: Tourism Economics, published quarterly, covers the business aspects of tourism in the wider context. It takes account of constraints on development, such as social and community interests and the sustainable use of tourism and recreation resources, and inputs into the production process. The definition of tourism used includes tourist trips taken for all purposes, embracing both stay and day visitors. Articles address the components of the tourism product (accommodation; restaurants; merchandizing; attractions; transport; entertainment; tourist activities); and the economic organization of tourism at micro and macro levels (market structure; role of public/private sectors; community interests; strategic planning; marketing; finance; economic development).
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