A Theoretical Foundation for Count Data Models

Hellerstein, Daniel; Mendelsohn, Robert

doi:10.2307/1243567

Cited by 199 publications

(93 citation statements)

References 13 publications

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“…Count models have become the standard in estimating recreational demand models (Martínez-Espiñeira and Amoako-Tuour, 2008;Ovaskainen et al, 2012;Hynes and Greene, 2013) following a theoretical underpinning provided by Hellerstein and Mendelsohn (1993). The count variable, e.g.…”

Section: Modelmentioning

confidence: 99%

Water quality and recreational angling demand in Ireland

Curtis

Stanley

2016

Journal of Outdoor Recreation and Tourism

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may Water Quality and Recreational Angling Demand in Ireland John Curtis and Brian StanleyAbstract: Using on-site survey data from sea, coarse and game angling sites in Ireland, this paper estimates count data models of recreational angling demand. The models are used to investigate the extent to which anglers are responsive to differences in water quality, with the water quality metric defined by the EU's Water Framework Directive. The analysis shows that angling demand is greater where water quality has a higher ecological status, particularly for anglers targeting game species. However, for coarse anglers we find the reverse, angling demand is greater in waters with lower ecological status. On average, across the different target species surveyed, anglers have a willingness to pay of €371 for a day's fishing. The additional benefit of angling in waters with high versus low ecological status was the highest for game anglers at a mean of €122 per day.

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Section: Modelmentioning

confidence: 99%

Water quality and recreational angling demand in Ireland

Curtis

Stanley

2016

Journal of Outdoor Recreation and Tourism

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“…Note that its acceptance would imply that E(y t )=V(y t ), so that the Poisson model is a particular case of the Negative Binomial when α=0 (Gurmu and Trivedi, 1996). This approximation overcomes the bias problems of the regression analysis arising from the discrete character of the dependent variable (Hellerstein and Mendelsohn, 1993) and the inefficiency problems of the Multinomial Logit Model (Cameron and Trivedi, 1998) when analysing the number of days a tourist spends on holiday. The Multinomial Logit Model has serious disadvantages as a consequence of the consideration of a high number of alternatives (0,1,2,3,...days), which prevents the model from attaining efficient estimations.…”

Section: Data Analysis Techniquementioning

confidence: 99%

Determinant factors of senior tourists’ length of stay

Alén¹,

Nicolau²,

Losada³

et al. 2014

Annals of Tourism Research

145

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The current tendency to undertake more trips, but of shorter duration, throughout the year, has meant that the tourist industry has started to show greater interest in attracting those market segments that opt for more prolonged stays, as they are especially profitable. One of these segments is that of seniors.Given the aging demographic of the population worldwide, which is particularly noticeable in Spain, the object of this study is to identify the variables that determine the length of stay of Spanish seniors at their destination. The determinant factors of the length of stay by Spanish seniors identified were: age, travel purpose, climate, type of accommodation, group size, trip type and the activities carried out at the destination. This study is a contribution to this field from an empirical point of view, given the scarcity of studies of this type and their eminently descriptive character; as well as from a practical level, with interesting implications for the sector.

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“…Since the on-site survey excludes non-users, the number of trips must be a non-negative integer. The Poisson model makes count data estimators more reflective of the data and improves estimation efficiency, which is increasingly used to estimate travel cost [38][39][40].…”

Section: Travel Cost Methodsmentioning

confidence: 99%

“…Many researchers have followed Shaw's (1988) on-site Poisson model to correct those samples affected by the exclusion of non-users and endogenous stratification [38][39][40][41][42][43][44]. Therefore, the adjusted function is…”

Section: Travel Cost Methodsmentioning

confidence: 99%

Estimating the Total Economic Value of Cultivated Flower Land in Taiwan

Huang

Wang

2015

Sustainability

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Many arable land areas have been converted to residential or business uses by Taiwan government authorities, because the low farmland value is associated with the low value of agricultural products. However, agriculture is multifunctional. This study investigates farmland value through Total Economic Value (TEV) for Tianwei Township, which is Taiwan's largest floral farmland region. Direct use value measures the floral products' output value and recreational benefit. Recreational benefit from visitors' flower sightseeing was measured by the travel cost method (TCM). Option value and non-use value, including bequest value and existence value, measure the residents' willingness to pay through the double-bounded dichotomous contingent valuation method (CVM). The results show that the total floral products' output is NT$1.441 billion in 2007, recreational benefit is roughly NT$17.757 billion. The intangible value of option value and non-use values are approximately between NT$5 million to 15 million. Therefore, ignoring various values of farmland might lead to an underestimation of farmland value.

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A Theoretical Foundation for Count Data Models

Abstract: The paper develops a theoretical foundation for using count data models in travel cost analysis. Two micro models are developed: a restricted choice model and a repeated discrete choice model. We show that both models lead to identical welfare measures.

Cited by 199 publications

References 13 publications

Water quality and recreational angling demand in Ireland

Water quality and recreational angling demand in Ireland

Determinant factors of senior tourists’ length of stay

Estimating the Total Economic Value of Cultivated Flower Land in Taiwan

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