Robust and alternative estimators for “better” estimates for expenditures and other “long tail” distributions

Huan, Tzung‐Cheng; Beaman, Jay; Chang, Liang-Han; Hsu, Shih-Yun

doi:10.1016/j.tourman.2007.09.004

Cited by 10 publications

(12 citation statements)

References 14 publications

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“…The distribution of the tourist expenditure is generally characterized by a long tail (Huan et al, 2008) because of the concentration of large values on the right tail of the distribution. Hence, the traditional Ordinary Least Square (OLS) regression methods, which are commonly used in the tourist expenditure literature, present the risk of undesirable estimate results.…”

Section: Introductionmentioning

confidence: 99%

A demand-driven analysis of tourist accommodation price: A quantile regression of room bookings

Masiero

Nicolau

Law

2015

International Journal of Hospitality Management

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Section: Introductionmentioning

confidence: 99%

A demand-driven analysis of tourist accommodation price: A quantile regression of room bookings

Masiero

Nicolau

Law

2015

International Journal of Hospitality Management

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“…A large body of research (Table 1) has been developed to improve the accuracy of tourism statistics (population total, proportion, and mean). However, the research literature has demonstrated that there often exists a trade-off between the variability of an estimate and its bias (Chambers, 1986;Huan et al, 2008). Specifically, simultaneous minimization of variability and bias is not possible.…”

Section: Introductionmentioning

confidence: 99%

Accommodation statistics: the current issues and an innovation

Truong

Shimizu

Kurihara

et al. 2021

Current Issues in Tourism

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In tourism accommodation statistics, accuracy (variance and bias) is fundamental. However, minimizing both the variance and bias of the estimate is a challenge due to the trade-off between the two. In many countries, tourism accommodation statistics, which popularly developed with the unbiased linear estimator, are less accurate. This study recommends an integration of bootstrap and regression to overcome the challenge. An unbiased linear estimator is used as a benchmark to investigate the integration method's effectiveness. With realistic accommodation data in Japan, we found that the integration method yields more than two times more accurate results than the unbiased linear estimator. The integration method contributes to an innovation in accommodation statistics in tourism.

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“…see references in Sun, 2005). Furthermore, getting good and efficient estimates with expenditure data is currently a topic in the literature (Pol et al, 2006;Huan et al, 2008). Dealing with expenditure data is appropriate for a separate paper.…”

Section: Introductionmentioning

confidence: 99%

Effective information collection on international inbound visitors

Dai

Liu

2012

International Journal of Culture, Tourism and Hospitality Research

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Purpose -Data collection from inbound tourists is a repetitive activity. This paper's main purpose is to show that, unless something useful about the nature of change is being established, repetitious collection of data from, for example, inbound visitors results in ineffective accumulation of data. The paper also aims to elucidate what it means for data to be ineffective for practical application or theory development.Design/methodology/approach -The approach was to examine three years of data from inbound visitors to Taiwan to consider what would make data collection more effective.Findings -Collecting many specific variables relating to travel by inbound tourists can result in recognizing segments and other matters important for applied research or theory development. Analysis shows detailed information can have limited use and high cost when different details apply to different segments. After identifying segments to study, effective information collection can require segment specific questioning, special sampling and segment specific studies.Originality/value -While various countries conduct special studies, annual collection of a wide variety of information from inbound tourists is a common practice. This research provides new perspectives on why some data collection practices should be modified.

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Robust and alternative estimators for “better” estimates for expenditures and other “long tail” distributions

Cited by 10 publications

References 14 publications

A demand-driven analysis of tourist accommodation price: A quantile regression of room bookings

A demand-driven analysis of tourist accommodation price: A quantile regression of room bookings

Accommodation statistics: the current issues and an innovation

Effective information collection on international inbound visitors

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